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Daniel Kudenko: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich
    An Empirical Analysis of Terminological Representation Systems. [Citation Graph (1, 0)][DBLP]
    AAAI, 1992, pp:767-773 [Conf]
  2. William W. Cohen, Daniel Kudenko
    Transferring and Retraining Learned Information Filters. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:583-590 [Conf]
  3. Haym Hirsh, Daniel Kudenko
    Representing Sequences in Description Logics. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:384-389 [Conf]
  4. Spiros Kapetanakis, Daniel Kudenko
    Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:326-331 [Conf]
  5. Daniel Kudenko, Haym Hirsh
    Feature Generation for Sequence Categorization. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:733-738 [Conf]
  6. Martin Carpenter, Daniel Kudenko
    Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agent Systems, 2005, pp:55-72 [Conf]
  7. Spiros Kapetanakis, Daniel Kudenko
    Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agent Systems, 2005, pp:119-131 [Conf]
  8. Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens
    Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agents Systems, 2002, pp:18-32 [Conf]
  9. Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens
    Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agent Systems, 2005, pp:106-118 [Conf]
  10. Zoë P. Lock, Daniel Kudenko
    Interactions Between Stereotypes. [Citation Graph (0, 0)][DBLP]
    AH, 2006, pp:172-181 [Conf]
  11. I-Hsien Ting, Chris Kimble, Daniel Kudenko
    A Pattern Restore Method for Restoring Missing Patterns in Server Side Clickstream Data. [Citation Graph (0, 0)][DBLP]
    APWeb, 2005, pp:501-512 [Conf]
  12. Spiros Kapetanakis, Daniel Kudenko
    Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1258-1259 [Conf]
  13. Daniel Kudenko, Haym Hirsh
    Representing Sequences in Description Logics Using Suffix Trees. [Citation Graph (0, 0)][DBLP]
    Description Logics, 1996, pp:141-145 [Conf]
  14. Daniel Kudenko, Haym Hirsh
    Feature-Based Learners for Description Logics. [Citation Graph (0, 0)][DBLP]
    Description Logics, 1999, pp:- [Conf]
  15. Dimitar Kazakov, Daniel Kudenko
    Machine Learning and Inductive Logic Programming for Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    EASSS, 2001, pp:246-272 [Conf]
  16. Thomas Walker, Daniel Kudenko, Malcolm J. A. Strens
    Algorithms for Distributed Exploration. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:84-88 [Conf]
  17. Enda Ridge, Daniel Kudenko
    An Analysis of Problem Difficulty for a Class of Optimisation Heuristics. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2007, pp:198-209 [Conf]
  18. Eduardo Alonso, Daniel Kudenko
    Machine Learning for Logic-Based Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    FAABS, 2000, pp:306-307 [Conf]
  19. Daniel Kudenko, Mathias Bauer, Dietmar Dengler
    Group Decision Making through Mediated Discussions. [Citation Graph (0, 0)][DBLP]
    User Modeling, 2003, pp:238-247 [Conf]
  20. I-Hsien Ting, Chris Kimble, Daniel Kudenko
    UBB Mining: Finding Unexpected Browsing Behaviour in Clickstream Data to Improve a Web Site's Design. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:179-185 [Conf]
  21. Eduardo Alonso, Daniel Kudenko
    Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2001, v:13, n:, pp:85-93 [Journal]
  22. Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich
    An Empirical Analysis of Terminological Representation Systems. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1994, v:68, n:2, pp:367-397 [Journal]
  23. Enda Ridge, Daniel Kudenko
    Analyzing heuristic performance with response surface models: prediction, optimization and robustness. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:150-157 [Conf]
  24. Enda Ridge, Daniel Kudenko
    Screening the parameters affecting heuristic performance. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:180- [Conf]
  25. I-Hsien Ting, Chris Kimble, Daniel Kudenko
    Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. [Citation Graph (0, 0)][DBLP]
    ICALT, 2007, pp:929-930 [Conf]
  26. I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright
    APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:66-73 [Conf]
  27. Heather Barber, Daniel Kudenko
    Dynamic Generation of Dilemma-based Interactive Narratives. [Citation Graph (0, 0)][DBLP]
    AIIDE, 2007, pp:2-7 [Conf]
  28. Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry
    Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. [Citation Graph (0, 0)][DBLP]
    SOAS, 2005, pp:35-49 [Conf]
  29. Enda Ridge, Daniel Kudenko
    Tuning the Performance of the MMAS Heuristic. [Citation Graph (0, 0)][DBLP]
    SLS, 2007, pp:46-60 [Conf]

  30. Parallel Reinforcement Learning with Linear Function Approximation. [Citation Graph (, )][DBLP]


  31. Multi-agent Reinforcement Learning for Intrusion Detection. [Citation Graph (, )][DBLP]


  32. Combining Reinforcement Learning with Symbolic Planning. [Citation Graph (, )][DBLP]


  33. Educational Narrative and Student Modeling for Ill-Defined Domains. [Citation Graph (, )][DBLP]


  34. Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. [Citation Graph (, )][DBLP]


  35. Parallel reinforcement learning with linear function approximation. [Citation Graph (, )][DBLP]


  36. PAC-MDP learning with knowledge-based admissible models. [Citation Graph (, )][DBLP]


  37. Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation. [Citation Graph (, )][DBLP]


  38. Character Education Using Pedagogical Agents and Socratic Voice. [Citation Graph (, )][DBLP]


  39. Reinforcement Learning in RoboCup KeepAway with Partial Observability. [Citation Graph (, )][DBLP]


  40. An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. [Citation Graph (, )][DBLP]


  41. Multigrid Reinforcement Learning with Reward Shaping. [Citation Graph (, )][DBLP]


  42. Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. [Citation Graph (, )][DBLP]


  43. Duality of Actor and Character Goals in Virtual Drama. [Citation Graph (, )][DBLP]


  44. Multi-Agent Reinforcement Learning for Intrusion Detection: A Case Study and Evaluation. [Citation Graph (, )][DBLP]


  45. Improving Optimistic Exploration in Model-Free Reinforcement Learning. [Citation Graph (, )][DBLP]


  46. Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation. [Citation Graph (, )][DBLP]


  47. Schemas in Directed Emergent Drama. [Citation Graph (, )][DBLP]


  48. Knowledge-Based Reinforcement Learning for Data Mining. [Citation Graph (, )][DBLP]


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