On the difficulty of modular reinforcement learning for real-world partial programming

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2006, Pages 318-323

  Bhat, Sooraj ^a   Isbell Jr , Charles L ^a   Mateas, Michael ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MODULAR REINFORCEMENT; MODULAR REINFORCEMENT LEARNING (MRL); REAL WORLD PARTIAL PROGRAMMING; SOCIAL CHOICE THEORY;

ABSTRACTING; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMMERCE; COMPUTER PROGRAMMING;

LEARNING SYSTEMS;

EID: 33750696974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Andre, D., and Russell, S. 2000. Programmable Reinforcment Learning Agents. In Advances in Neural Information Processing Systems.
2. Arrow, K. J. 1966. Social Choice and Individual Values. John Wiley & Sons, 2nd edition.
3. Bates, J.; Loyall, A. B.; and Reilly, W. 1992. Integrating Reactivity, Goals, and Emotion in a Broad Agent. In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society.
4. Dietterich, T. G. 1998. The MAXQ Method for Hierarchical Reinforcement Learning. In Proceedings of the Fifteenth International Conference on Machine Learning.
5. Doyle, J., and Wellman, M. P. 1991. Impediments to Universal Preference-Based Default Theories. Artificial Intelligence 49(1-3):97-128.
6. Humphrys, M. 1996. Action Selection Methods using Reinforcement Learning. In Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, 135-144.
7. Karlsson, J. 1997. Learning to Solve Multiple Goals. Ph.D. Dissertation, University of Rochester.
8. Mateas, M., and Stern, A. 2002. A Behavior Language for Story-Based Believable Agents. IEEE Intelligent Systems 17(4):39-47.
9. Reny, P. J. 2000. Arrow's Theorem and the Gibbard-Satterthwaite Theorem: A Unified Approach. http://home.uchicago.edu/preny/papers/arrow- gibbardsatterthwaite.pdf. Web article.
10. Roberts, K. W. S. 1980. Interpersonal Comparability and Social Choice Theory. In The Review of Economic Studies, 421-439.
11. Russell, S., and Zimdars, A. L. 2003. Q-Decomposition for Reinforcement Learning Agents. In Proceedings of the Twentieth International Conference on Machine Learning (ICML-03).
12. Sprague, N., and Ballard, D. 2003. Multiple-Goal Reinforcement Learning with Modular Sarsa(0). In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Workshop paper.