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Peter Stone: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. David Pardoe, Peter Stone, Maytal Saar-Tsechansky, Kerem Tomak
    Adaptive mechanism design: a metalearning approach. [Citation Graph (0, 0)][DBLP]
    ICEC, 2006, pp:92-102 [Conf]
  2. Ronggang Yu, Peter Stone
    Performance analysis of a counter-intuitive automated stock-trading agent. [Citation Graph (0, 0)][DBLP]
    ICEC, 2003, pp:40-46 [Conf]
  3. Mazda Ahmadi, Peter Stone
    Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Mazda Ahmadi, Peter Stone
    Biconnected Structure for Multi-Robot Systems. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  5. Kurt M. Dresner, Peter Stone
    Traffic Intersections of the Future. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  6. Kurt M. Dresner, Peter Stone
    Making Autonomous Intersection Management Backwards-Compatible. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  7. Charles Lee Isbell Jr., Michael J. Kearns, David P. Kormann, Satinder P. Singh, Peter Stone
    Cobot in LambdaMOO: A Social Statistics Agent. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:36-41 [Conf]
  8. Nate Kohl, Peter Stone
    Machine Learning for Fast Quadrupedal Locomotion. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:611-616 [Conf]
  9. Gregory Kuhlmann, William B. Knox, Peter Stone
    Know Thine Enemy: A Champion RoboCup Coach Agent. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  10. Gregory Kuhlmann, Peter Stone
    Automatic Heuristic Construction in a Complete General Game Player. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  11. Gregory Kuhlmann, Peter Stone
    Automatic Heuristic Construction for General Game Playing. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  12. Yaxin Liu, Peter Stone
    Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  13. David Pardoe, Peter Stone
    TacTex-05: A Champion Supply Chain Management Agent. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  14. Alexander A. Sherstov, Peter Stone
    Improving Action Selection in MDP's via Knowledge Transfer. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1024-1029 [Conf]
  15. Mohan Sridharan, Peter Stone
    Autonomous Color Learning on a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1318-1323 [Conf]
  16. Peter Stone
    Layered Learning in Multiagent Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:819- [Conf]
  17. Peter Stone, Patrick Riley, Manuela M. Veloso
    Defining and Using Ideal Teammate and Opponent Agent Models. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:1040-1045 [Conf]
  18. Daniel Stronger, Peter Stone
    Expectation-Based Vision for Self-Localization on a Legged Robot. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  19. Matthew E. Taylor, Peter Stone
    Inter-Task Action Correlation for Reinforcement Learning Tasks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  20. Matthew E. Taylor, Peter Stone, Yaxin Liu
    Value Functions for RL-Based Behavior Transfer: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:880-885 [Conf]
  21. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUnited-98: A Team of Robotic Soccer Agents. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:891-896 [Conf]
  22. Michael P. Wellman, Amy R. Greenwald, Peter Stone, Peter R. Wurman
    The 2001 Trading Agent Competition. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:935-0 [Conf]
  23. Shimon Whiteson, Peter Stone
    Towards Autonomic Computing: Adaptive Job Routing and Scheduling. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:916-922 [Conf]
  24. Shimon Whiteson, Peter Stone
    Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  25. Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
    A social reinforcement learning agent. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:377-384 [Conf]
  26. Itsuki Noda, Peter Stone
    The RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research. [Citation Graph (0, 0)][DBLP]
    Agents Workshop on Infrastructure for Multi-Agent Systems, 2000, pp:94-101 [Conf]
  27. Peter Stone, Michael L. Littman, Satinder P. Singh, Michael J. Kearns
    ATTac-2000: an adaptive autonomous bidding agent. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:238-245 [Conf]
  28. Peter Stone, David A. McAllester
    An architecture for action selection in robotic soccer. [Citation Graph (0, 0)][DBLP]
    Agents, 2001, pp:316-323 [Conf]
  29. Peter Stone, Patrick Riley, Manuela M. Veloso
    Layered disclosure: why is the agent doing what it's doing? [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:225-226 [Conf]
  30. Peter Stone, Manuela M. Veloso
    Using Decision Tree Confidence Factors for Multi-Agent Control. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:86-91 [Conf]
  31. Peter Stone, Manuela M. Veloso
    Team-Partitioned, Opaque-Transition Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Agents, 1999, pp:206-212 [Conf]
  32. Manuela M. Veloso, Peter Stone, Sorin Achim
    A Layered Approach for an Autonomous Robotic Soccer System. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:530-531 [Conf]
  33. Manuela M. Veloso, Peter Stone, Kwun Han
    The CMUnited-97 Robotic Socccer Team: Perception and Multiagent Control. [Citation Graph (0, 0)][DBLP]
    Agents, 1998, pp:78-85 [Conf]
  34. Peter Stone, Manuela M. Veloso, Jim Blythe
    The Need for Different Domain-independent Heuristics. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:164-169 [Conf]
  35. David Pardoe, Peter Stone
    Bidding for Customer Orders in TAC SCM. [Citation Graph (0, 0)][DBLP]
    AMEC, 2004, pp:143-157 [Conf]
  36. Paul S. A. Reitsma, Peter Stone, János A. Csirik, Michael L. Littman
    Self-Enforcing Strategic Demand Reduction. [Citation Graph (0, 0)][DBLP]
    AMEC, 2002, pp:289-306 [Conf]
  37. Alexander A. Sherstov, Peter Stone
    Three Automated Stock-Trading Agents: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    AMEC, 2004, pp:173-187 [Conf]
  38. Peter Stone, Robert E. Schapire, János A. Csirik, Michael L. Littman, David A. McAllester
    ATTac-2001: A Learning, Autonomous Bidding Agent. [Citation Graph (0, 0)][DBLP]
    AMEC, 2002, pp:143-160 [Conf]
  39. Kurt M. Dresner, Peter Stone
    Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:530-537 [Conf]
  40. Kurt M. Dresner, Peter Stone
    Multiagent traffic management: an improved intersection control mechanism. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:471-477 [Conf]
  41. Michael L. Littman, Peter Stone
    Implicit Negotiation in Repeated Games. [Citation Graph (0, 0)][DBLP]
    ATAL, 2001, pp:393-404 [Conf]
  42. David Pardoe, Peter Stone
    Agent-Based Supply Chain Management: Bidding for Customer Orders. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1442-1443 [Conf]
  43. Paul S. A. Reitsma, Peter Stone, János Csirik, Michael L. Littman
    Randomized strategic demand reduction: getting more by asking for less. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:162-163 [Conf]
  44. Patrick Riley, Peter Stone, Manuela M. Veloso
    Layered Disclosure: Revealing Agents' Internals. [Citation Graph (0, 0)][DBLP]
    ATAL, 2000, pp:61-72 [Conf]
  45. Peter Stone, Manuela M. Veloso
    Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork. [Citation Graph (0, 0)][DBLP]
    ATAL, 1998, pp:293-308 [Conf]
  46. Matthew E. Taylor, Peter Stone
    Behavior transfer for value-function-based reinforcement learning. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:53-59 [Conf]
  47. Shimon Whiteson, Peter Stone
    Concurrent layered learning. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:193-200 [Conf]
  48. Mohan Sridharan, Peter Stone
    Towards On-Board Color Constancy on Mobile Robots. [Citation Graph (0, 0)][DBLP]
    CRV, 2004, pp:130-137 [Conf]
  49. Peter Stone, Manuela M. Veloso
    Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. [Citation Graph (0, 0)][DBLP]
    CRW, 1998, pp:85-97 [Conf]
  50. Peter Stone, Manuela M. Veloso
    Layered Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:369-381 [Conf]
  51. Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers
    Designing safe, profitable automated stock trading agents using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1777-1784 [Conf]
  52. Matthew E. Taylor, Shimon Whiteson, Peter Stone
    Comparing evolutionary and temporal difference methods in a reinforcement learning domain. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1321-1328 [Conf]
  53. Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone
    Evolving Keepaway Soccer Players through Task Decomposition. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:356-368 [Conf]
  54. Shimon Whiteson, Peter Stone
    On-line evolutionary computation for reinforcement learning in stochastic domains. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1577-1584 [Conf]
  55. Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl
    Automatic feature selection in neuroevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1225-1232 [Conf]
  56. Shimon Whiteson, Peter Stone
    Towards Autonomic Computing: Adaptive Network Routing and Scheduling. [Citation Graph (0, 0)][DBLP]
    ICAC, 2004, pp:286-287 [Conf]
  57. Jonathan Wildstrom, Peter Stone, Emmett Witchel, Raymond J. Mooney, Michael Dahlin
    Towards Self-Configuring Hardware for Distributed Computer Systems. [Citation Graph (0, 0)][DBLP]
    ICAC, 2005, pp:241-249 [Conf]
  58. Manuela M. Veloso, Peter Stone
    Individual and Collaborative Behaviors in a Team of Robotic Soccer Agents. [Citation Graph (0, 0)][DBLP]
    ICMAS, 1998, pp:309-316 [Conf]
  59. Peter Stone, Patrick Riley, Manuela M. Veloso
    Defining and Using Ideal Teammate and Opponent Agent Models: A Case Study in Robotic Soccer. [Citation Graph (0, 0)][DBLP]
    ICMAS, 2000, pp:441-442 [Conf]
  60. Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik
    Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:546-553 [Conf]
  61. Satinder P. Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone
    Learning Predictive State Representations. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:712-719 [Conf]
  62. Peter Stone
    TPOT-RL Applied to Network Routing. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:935-942 [Conf]
  63. Peter Stone, Richard S. Sutton
    Scaling Reinforcement Learning toward RoboCup Soccer. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:537-544 [Conf]
  64. Daniel Stronger, Peter Stone
    Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:474-480 [Conf]
  65. Nicholas K. Jong, Peter Stone
    State Abstraction Discovery from Irrelevant State Variables. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:752-757 [Conf]
  66. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
    The RoboCup Synthetic Agent Challenge 97. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:24-30 [Conf]
  67. Mohan Sridharan, Peter Stone
    Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2212-2217 [Conf]
  68. Jonathan Wildstrom, Peter Stone, Emmett Witchel, Michael Dahlin
    Machine Learning for On-Line Hardware Reconfiguration. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1113-1118 [Conf]
  69. Bikramjit Banerjee, Peter Stone
    General Game Learning Using Knowledge Transfer. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:672-677 [Conf]
  70. Kurt M. Dresner, Peter Stone
    Sharing the Road: Autonomous Vehicles Meet Human Drivers. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1263-1268 [Conf]
  71. Peter Stone
    Learning and Multiagent Reasoning for Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:12-30 [Conf]
  72. Andreas Wahle, Mark E. Olszewski, Sarah C. Vigmostad, Kathleen Braddy, Theresa Brennan, James D. Rossen, Krishnan B. Chandran, Milan Sonka, Rubén Medina, A. Coskun, Charles Feldman, Peter Stone
    Quantitative Analysis of Circumferential Plaque Distribution in Human Coronary Arteries in Relation to Local Vessel Curvature. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:531-534 [Conf]
  73. Minoru Asada, Andreas Birk 0002, Enrico Pagello, Masahiro Fujita, Itsuki Noda, Satoshi Tadokoro, Dominique Duhaut, Peter Stone, Manuela M. Veloso, Tucker R. Balch, Hiroaki Kitano, Brian Thomas
    Progress in RoboCup Soccer Research in 2000. [Citation Graph (0, 0)][DBLP]
    ISER, 2000, pp:363-372 [Conf]
  74. Mazda Ahmadi, Peter Stone
    Multi-robot Learning for Continuous Area Sweeping. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:47-70 [Conf]
  75. Kurt M. Dresner, Peter Stone
    Multiagent Traffic Management: Opportunities for Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:129-138 [Conf]
  76. Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
    Cobot: A Social Reinforcement Learning Agent. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1393-1400 [Conf]
  77. Peter Stone, Manuela M. Veloso
    Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:896-902 [Conf]
  78. Minoru Asada, Peter Stone, Hiroaki Kitano, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
    The RoboCup Physical Agent Challenge: Goals and Protocols for Phase 1. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:42-61 [Conf]
  79. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
    The RoboCup Synthetic Agent Challenge 97. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:62-73 [Conf]
  80. Gregory Kuhlmann, Peter Stone
    Progress in Learning 3 vs. 2 Keepaway [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:694-702 [Conf]
  81. Gregory Kuhlmann, Peter Stone, Justin Lallinger
    The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:636-644 [Conf]
  82. David A. McAllester, Peter Stone
    Keeping the Ball from CMUnited-99. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:333-338 [Conf]
  83. Patrick Riley, Peter Stone, David A. McAllester, Manuela M. Veloso
    ATT-CMUnited-2000: Third Place Finisher in the RoboCup-2000 Simulator League. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:489-492 [Conf]
  84. Elizabeth Sklar, Simon Parsons, Peter Stone
    RoboCup in Higher Education: A Preliminary Report. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:296-307 [Conf]
  85. Mohan Sridharan, Peter Stone
    Towards Illumination Invariance in the Legged League. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:196-208 [Conf]
  86. Mohan Sridharan, Peter Stone
    Towards Eliminating Manual Color Calibration at RoboCup. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2005, pp:673-681 [Conf]
  87. Peter Stone
    ATTUnited-2001: Using Heterogeneous Players. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:495-498 [Conf]
  88. Peter Stone
    Multiagent Competitions and Research: Lessons from RoboCup and TAC. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:224-237 [Conf]
  89. Peter Stone
    RoboCup as an Introduction to CS Research. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:284-295 [Conf]
  90. Peter Stone, Minoru Asada, Tucker R. Balch, Masahiro Fujita, Gerhard K. Kraetzschmar, Henrik Hautop Lund, Paul Scerri, Satoshi Tadokoro, Gordon Wyeth
    Overview of RoboCup-2000. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:1-28 [Conf]
  91. Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, Yaxin Liu
    Keepaway Soccer: From Machine Learning Testbed to Benchmark. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2005, pp:93-105 [Conf]
  92. Peter Stone, Patrick Riley, Manuela M. Veloso
    The CMUnited-99 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:35-48 [Conf]
  93. Peter Stone, Richard S. Sutton
    Keepaway Soccer: A Machine Learning Testbed. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:214-223 [Conf]
  94. Peter Stone, Richard S. Sutton, Satinder P. Singh
    Reinforcement Learning for 3 vs. 2 Keepaway [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:249-258 [Conf]
  95. Peter Stone, Manuela M. Veloso
    Using Decision Tree Confidence Factors for Multiagent Control. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:99-111 [Conf]
  96. Peter Stone, Manuela M. Veloso
    The CMUnited-97 Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:389-397 [Conf]
  97. Peter Stone, Manuela M. Veloso
    Team-Partitioned, Opaque-Transition Reinforced Learning. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:261-272 [Conf]
  98. Peter Stone, Manuela M. Veloso
    Layered Learning and Flexible Teamwork in RoboCup Simulation Agents. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:495-508 [Conf]
  99. Peter Stone, Manuela M. Veloso, Patrick Riley
    The CMUnited-98 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:61-76 [Conf]
  100. Daniel Stronger, Peter Stone
    A Model-Based Approach to Robot Joint Control. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:297-309 [Conf]
  101. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    The CMUnited-98 Small-Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:77-92 [Conf]
  102. Manuela M. Veloso, Hiroaki Kitano, Enrico Pagello, Gerhard K. Kraetzschmar, Peter Stone, Tucker R. Balch, Minoru Asada, Silvia Coradeschi, Lars Karlsson, Masahiro Fujita
    Overview of RoboCup-99. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:1-34 [Conf]
  103. Manuela M. Veloso, Peter Stone, Kwun Han, Sorin Achim
    The CMUnited-97 Small Robot Team. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1997, pp:242-256 [Conf]
  104. Alexander A. Sherstov, Peter Stone
    Function Approximation via Tile Coding: Automating Parameter Choice. [Citation Graph (0, 0)][DBLP]
    SARA, 2005, pp:194-205 [Conf]
  105. Michael L. Littman, Peter Stone
    A polynomial-time nash equilibrium algorithm for repeated games. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2003, pp:48-54 [Conf]
  106. János A. Csirik, Michael L. Littman, Satinder P. Singh, Peter Stone
    FAucS : An FCC Spectrum Auction Simulator for Autonomous Bidding Agents. [Citation Graph (0, 0)][DBLP]
    WELCOM, 2001, pp:139-151 [Conf]
  107. Minoru Asada, Peter Stone, Hiroaki Kitano, Barry Brian Werger, Yasuo Kuniyoshi, Alexis Drogoul, Dominique Duhaut, Manuela M. Veloso, Hajime Asama, Sho'ji Suzuki
    The Robocup Physical Agent Challenge: Phase I. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:2-3, pp:251-263 [Journal]
  108. Peter Stone, Manuela M. Veloso
    Layered Approach to Learning Client Behaviors in the Robocup Soccer Server. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:2-3, pp:165-188 [Journal]
  109. Itsuki Noda, Peter Stone
    The RoboCup Soccer Server and CMUnited Clients: Implemented Infrastructure for MAS Research. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2003, v:7, n:1-2, pp:101-120 [Journal]
  110. Charles Lee Isbell Jr., Michael J. Kearns, Satinder P. Singh, Christian R. Shelton, Peter Stone, David P. Kormann
    Cobot in LambdaMOO: An Adaptive Social Statistics Agent. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2006, v:13, n:3, pp:327-354 [Journal]
  111. Peter Stone, Manuela M. Veloso
    Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1999, v:110, n:2, pp:241-273 [Journal]
  112. Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay
    The 2002 AAAI Spring Symposium Series. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:4, pp:101-106 [Journal]
  113. Silvia Coradeschi, Lars Karlsson, Peter Stone, Tucker R. Balch, Gerhard K. Kraetzschmar, Minoru Asada
    Overview of RoboCup-99. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:3, pp:11-18 [Journal]
  114. Manuela M. Veloso, Michael H. Bowling, Sorin Achim, Kwun Han, Peter Stone
    CMUNITED-98: RoboCup-98 Small-Robot World Champion Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:29-36 [Journal]
  115. Manuela M. Veloso, Peter Stone, Kwun Han
    CMUNITED-97: RoboCup-97 Small-Robot World Champion Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1998, v:19, n:3, pp:61-69 [Journal]
  116. Peter Stone
    RoboCup-2001: The Fourth Robotic Soccer World Championships. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2001, v:22, n:1, pp:11-38 [Journal]
  117. Peter Stone, Patrick Riley, Manuela M. Veloso
    The CMUnited-99 Champion Simulator Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:3, pp:33-40 [Journal]
  118. Peter Stone, Manuela M. Veloso, Patrick Riley
    CMUNITED-98 Simulator Team. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:1, pp:20-28 [Journal]
  119. Manuela M. Veloso, Tucker R. Balch, Peter Stone, Hiroaki Kitano, Fuminori Yamasaki, Ken Endo, Minoru Asada, Mansour Jamzad, Sayyed Bashir Sadjad, Vahab S. Mirrokni, Moslem Kazemi, Hamid Reza Chitsaz, Abbas Heydarnoori, Mohammad Taghi Hajiaghayi, Ehsan Chiniforooshan
    RoboCup-2001: The Fifth Robotic Soccer World Championships. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2002, v:23, n:1, pp:55-68 [Journal]
  120. Peter Stone, Manuela M. Veloso
    Multiagent Systems: A Survey from a Machine Learning Perspective. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2000, v:8, n:3, pp:345-383 [Journal]
  121. Peter Stone
    Developing Networked Services for Libraries: The U. K. Experience. [Citation Graph (0, 0)][DBLP]
    Computer Networks and ISDN Systems, 1990, v:19, n:3-5, pp:343-349 [Journal]
  122. Michael L. Littman, Peter Stone
    A polynomial-time Nash equilibrium algorithm for repeated games. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2005, v:39, n:1, pp:55-66 [Journal]
  123. Peter Stone, Amy R. Greenwald
    The First International Trading Agent Competition: Autonomous Bidding Agents. [Citation Graph (0, 0)][DBLP]
    Electronic Commerce Research, 2005, v:5, n:2, pp:229-265 [Journal]
  124. Michael P. Wellman, Amy R. Greenwald, Peter Stone, Peter R. Wurman
    The 2001 Trading Agent Competition. [Citation Graph (0, 0)][DBLP]
    Electronic Markets, 2003, v:13, n:1, pp:- [Journal]
  125. Amy R. Greenwald, Nicholas R. Jennings, Peter Stone
    Guest Editors' Introduction: Agents and Markets. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2003, v:18, n:6, pp:12-14 [Journal]
  126. Peter Stone, Manuela M. Veloso
    Towards collaborative and adversarial learning: a case study in robotic soccer. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1998, v:48, n:1, pp:83-104 [Journal]
  127. Amy R. Greenwald, Peter Stone
    Autonomous Bidding Agents in the Trading Agent Competition. [Citation Graph (0, 0)][DBLP]
    IEEE Internet Computing, 2001, v:5, n:2, pp:52-0 [Journal]
  128. Peter Stone, Michael L. Littman, Satinder P. Singh, Michael J. Kearns
    ATTac-2000: An Adaptive Autonomous Bidding Agent. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:189-206 [Journal]
  129. Peter Stone, Robert E. Schapire, Michael L. Littman, János A. Csirik, David A. McAllester
    Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2003, v:19, n:, pp:209-242 [Journal]
  130. Manuela M. Veloso, Peter Stone
    FLECS: Planning with a Flexible Commitment Strategy. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:25-52 [Journal]
  131. Elizabeth Sklar, Simon Parsons, Peter Stone
    Using RoboCup in university-level computer science education. [Citation Graph (0, 0)][DBLP]
    ACM Journal of Educational Resources in Computing, 2004, v:4, n:2, pp:4- [Journal]
  132. Shimon Whiteson, Peter Stone
    Evolutionary Function Approximation for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:877-917 [Journal]
  133. Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone
    Evolving Soccer Keepaway Players Through Task Decomposition. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:1-2, pp:5-30 [Journal]
  134. Manuela M. Veloso, Peter Stone, Kwun Han
    The CMUnited-97 robotic soccer team: Perception and multi-agent control. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1999, v:29, n:2-3, pp:133-143 [Journal]
  135. Peter Stone, Mohan Sridharan, Daniel Stronger, Gregory Kuhlmann, Nate Kohl, Peggy Fidelman, Nicholas K. Jong
    From pixels to multi-robot decision-making: A study in uncertainty. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:11, pp:933-943 [Journal]
  136. Matthew E. Taylor, Peter Stone
    Representation Transfer via Elaboration. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1906-1907 [Conf]
  137. Matthew E. Taylor, Shimon Whiteson, Peter Stone
    Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1675-1678 [Conf]
  138. David Pardoe, Peter Stone
    Predictive Planning for Supply Chain Management. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2006, pp:21-30 [Conf]
  139. David Pardoe, Peter Stone, Mark Van Middlesworth
    TacTex-05: An Adaptive Agent for TAC SCM. [Citation Graph (0, 0)][DBLP]
    TADA/AMEC, 2006, pp:46-61 [Conf]
  140. Gregory Kuhlmann, Peter Stone
    Graph-Based Domain Mapping for Transfer Learning in General Games. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:188-200 [Conf]
  141. Jonathan Wildstrom, Peter Stone, Emmett Witchel
    Autonomous Return on Investment Analysis of Additional Processing Resources. [Citation Graph (0, 0)][DBLP]
    ICAC, 2007, pp:15- [Conf]
  142. Matthew E. Taylor, Peter Stone
    Cross-domain transfer for reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:879-886 [Conf]
  143. Daniel Stronger, Peter Stone
    A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:3915-3920 [Conf]
  144. Nate Kohl, Peter Stone
    Policy Gradient Reinforcement Learning for Fast Quadrupedal Locomotion. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:2619-2624 [Conf]
  145. Daniel Stronger, Peter Stone
    Simultaneous Calibration of Action and Sensor Models on a Mobile Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:4563-4568 [Conf]
  146. Mohan Sridharan, Gregory Kuhlmann, Peter Stone
    Practical Vision-Based Monte Carlo Localization on a Legged Robot. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:3366-3371 [Conf]
  147. Daniel Stronger, Peter Stone
    Selective Visual Attention for Object Detection on a Legged Robot. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:158-170 [Conf]
  148. Mohan Sridharan, Peter Stone
    Autonomous Planned Color Learning on a Legged Robot. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:270-278 [Conf]
  149. Peggy Fidelman, Peter Stone
    The Chin Pinch: A Case Study in Skill Learning on a Legged Robot. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:59-71 [Conf]
  150. Shivaram Kalyanakrishnan, Yaxin Liu, Peter Stone
    Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:72-85 [Conf]
  151. Manish Saggar, Thomas D'Silva, Nate Kohl, Peter Stone
    Autonomous Learning of Stable Quadruped Locomotion. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:98-109 [Conf]
  152. Nicholas K. Jong, Peter Stone
    Model-Based Exploration in Continuous State Spaces. [Citation Graph (0, 0)][DBLP]
    SARA, 2007, pp:258-272 [Conf]
  153. Peter Stone
    Multiagent learning is not the answer. It is the question. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2007, v:171, n:7, pp:402-405 [Journal]
  154. Mohan Sridharan, Peter Stone
    Structure-based color learning on a mobile robot under changing illumination. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 2007, v:23, n:3, pp:161-182 [Journal]

  155. Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. [Citation Graph (, )][DBLP]


  156. Towards reinforcement learning representation transfer. [Citation Graph (, )][DBLP]


  157. IFSA: incremental feature-set augmentation for reinforcement learning tasks. [Citation Graph (, )][DBLP]


  158. Model-based function approximation in reinforcement learning. [Citation Graph (, )][DBLP]


  159. Batch reinforcement learning in a complex domain. [Citation Graph (, )][DBLP]


  160. Adapting in agent-based markets: a study from TAC SCM. [Citation Graph (, )][DBLP]


  161. Transfer via inter-task mappings in policy search reinforcement learning. [Citation Graph (, )][DBLP]


  162. Autonomous transfer for reinforcement learning. [Citation Graph (, )][DBLP]


  163. The utility of temporal abstraction in reinforcement learning. [Citation Graph (, )][DBLP]


  164. Replacing the stop sign: unmanaged intersection control for autonomous vehicles. [Citation Graph (, )][DBLP]


  165. Mitigating catastrophic failure at intersections of autonomous vehicles. [Citation Graph (, )][DBLP]


  166. Adapting Price Predictions in TAC SCM. [Citation Graph (, )][DBLP]


  167. Learning complementary multiagent behaviors: a case study. [Citation Graph (, )][DBLP]


  168. An empirical analysis of value function-based and policy search reinforcement learning. [Citation Graph (, )][DBLP]


  169. Generalized model learning for reinforcement learning in factored domains. [Citation Graph (, )][DBLP]


  170. A task specification language for bootstrap learning. [Citation Graph (, )][DBLP]


  171. TacTex09: a champion bidding agent for ad auctions. [Citation Graph (, )][DBLP]


  172. Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework. [Citation Graph (, )][DBLP]


  173. Online model learning in adversarial Markov decision processes. [Citation Graph (, )][DBLP]


  174. Combining manual feedback with subsequent MDP reward signals for reinforcement learning. [Citation Graph (, )][DBLP]


  175. To teach or not to teach?: decision making under uncertainty in ad hoc teams. [Citation Graph (, )][DBLP]


  176. MARIOnET: motion acquisition for robots through iterative online evaluative training. [Citation Graph (, )][DBLP]


  177. CARVE: A Cognitive Agent for Resource Value Estimation. [Citation Graph (, )][DBLP]


  178. Online kernel selection for Bayesian reinforcement learning. [Citation Graph (, )][DBLP]


  179. Convergence, Targeted Optimality, and Safety in Multiagent Learning. [Citation Graph (, )][DBLP]


  180. Boosting for Regression Transfer. [Citation Graph (, )][DBLP]


  181. Efficient Selection of Multiple Bandit Arms: Theory and Practice. [Citation Graph (, )][DBLP]


  182. A Multi-robot System for Continuous Area Sweeping Tasks. [Citation Graph (, )][DBLP]


  183. Maximum likelihood estimation of sensor and action model functions on a mobile robot. [Citation Graph (, )][DBLP]


  184. Person tracking on a mobile robot with heterogeneous inter-characteristic feedback. [Citation Graph (, )][DBLP]


  185. Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration. [Citation Graph (, )][DBLP]


  186. Negative information and line observations for Monte Carlo localization. [Citation Graph (, )][DBLP]


  187. Generalized model learning for Reinforcement Learning on a humanoid robot. [Citation Graph (, )][DBLP]


  188. Interactively shaping agents via human reinforcement: the TAMER framework. [Citation Graph (, )][DBLP]


  189. Online Multiagent Learning against Memory Bounded Adversaries. [Citation Graph (, )][DBLP]


  190. Transferring Instances for Model-Based Reinforcement Learning. [Citation Graph (, )][DBLP]


  191. Compositional Models for Reinforcement Learning. [Citation Graph (, )][DBLP]


  192. Feature Selection for Value Function Approximation Using Bayesian Model Selection. [Citation Graph (, )][DBLP]


  193. Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration. [Citation Graph (, )][DBLP]


  194. Model-Based Reinforcement Learning in a Complex Domain. [Citation Graph (, )][DBLP]


  195. Instance-Based Action Models for Fast Action Planning. [Citation Graph (, )][DBLP]


  196. A Neural Network-Based Approach to Robot Motion Control. [Citation Graph (, )][DBLP]


  197. Domestic Interaction on a Segway Base. [Citation Graph (, )][DBLP]


  198. Three Humanoid Soccer Platforms: Comparison and Synthesis. [Citation Graph (, )][DBLP]


  199. Learning Complementary Multiagent Behaviors: A Case Study. [Citation Graph (, )][DBLP]


  200. Long-Term vs. Greedy Action Planning for Color Learning on a Mobile Robot. [Citation Graph (, )][DBLP]


  201. Comparing Two Action Planning Approaches for Color Learning on a Mobile Robot. [Citation Graph (, )][DBLP]


  202. Global action selection for illumination invariant color modeling. [Citation Graph (, )][DBLP]


  203. Improving particle filter performance using SSE instructions. [Citation Graph (, )][DBLP]


  204. Transfer Learning and Intelligence: an Argument and Approach. [Citation Graph (, )][DBLP]


  205. Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data. [Citation Graph (, )][DBLP]


  206. Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. [Citation Graph (, )][DBLP]


  207. The CMUnited-98 champion small-robot team. [Citation Graph (, )][DBLP]


  208. Towards autonomous sensor and actuator model induction on a mobile robot. [Citation Graph (, )][DBLP]


  209. FLECS: Planning with a Flexible Commitment Strategy [Citation Graph (, )][DBLP]


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