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Publications of Author

1. Matthew E. Taylor, Peter Stone
   Inter-Task Action Correlation for Reinforcement Learning Tasks. [Citation Graph (0, 0)][DBLP]
   AAAI, 2006, pp:- [Conf]
   
2. 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]
   
3. Matthew E. Taylor, Peter Stone
   Behavior transfer for value-function-based reinforcement learning. [Citation Graph (0, 0)][DBLP]
   AAMAS, 2005, pp:53-59 [Conf]
   
4. 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]
   
5. 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]
   
6. Matthew E. Taylor, Peter Stone
   Representation Transfer via Elaboration. [Citation Graph (0, 0)][DBLP]
   AAAI, 2007, pp:1906-1907 [Conf]
   
7. Matthew E. Taylor
   Autonomous Inter-Task Transfer in Reinforcement Learning Domains. [Citation Graph (0, 0)][DBLP]
   AAAI, 2007, pp:1951-1952 [Conf]
   
8. 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]
   
9. Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael J. Witbrock
   Guiding Inference with Policy Search Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   FLAIRS Conference, 2007, pp:146-151 [Conf]
   
10. Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael J. Witbrock
    Autonomous Classification of Knowledge into an Ontology. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2007, pp:140-145 [Conf]
    
11. Matthew E. Taylor, Peter Stone
    Cross-domain transfer for reinforcement learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:879-886 [Conf]
    
12. 
    Feature selection and policy optimization for distributed instruction placement using reinforcement learning. [Citation Graph (, )][DBLP]
    
    
13. 
    Evolving Compiler Heuristics to Manage Communication and Contention. [Citation Graph (, )][DBLP]
    
    
14. 
    Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping. [Citation Graph (, )][DBLP]
    
    
15. 
    Towards reinforcement learning representation transfer. [Citation Graph (, )][DBLP]
    
    
16. 
    IFSA: incremental feature-set augmentation for reinforcement learning tasks. [Citation Graph (, )][DBLP]
    
    
17. 
    Transfer via inter-task mappings in policy search reinforcement learning. [Citation Graph (, )][DBLP]
    
    
18. 
    Autonomous transfer for reinforcement learning. [Citation Graph (, )][DBLP]
    
    
19. 
    When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty. [Citation Graph (, )][DBLP]
    
    
20. 
    DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. [Citation Graph (, )][DBLP]
    
    
21. 
    Transferring Instances for Model-Based Reinforcement Learning. [Citation Graph (, )][DBLP]
    
    
22. 
    Transfer Learning and Intelligence: an Argument and Approach. [Citation Graph (, )][DBLP]
    
    
23. 
    Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning. [Citation Graph (, )][DBLP]