Reinforcement learning: A survey

Journal of Artificial Intelligence Research

Volumn 4, Issue , 1996, Pages 237-285

  Kaelbling, Leslie Pack ^a   Littman, Michael L ^a   Moore, Andrew W ^b  

^a Brown University ^*  (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; DECISION THEORY; HUMAN COMPUTER INTERACTION; MARKOV PROCESSES; MATHEMATICAL MODELS;

REINFORCEMENT LEARNING; TRIAL AND ERROR INTERACTIONS;

LEARNING SYSTEMS;

EID: 0029679044     PISSN: 10769757     EISSN: None     Source Type: Journal    
DOI: 10.1613/jair.301     Document Type: Article

References (7)

1. Ackley, D. H., & Littman, M. L. (1990). Generalization and scaling in reinforcement learning. In Touretzky, D. S. (Ed.), Advances in Neural Information Processing Systems 2, pp. 550-557 San Mateo, CA. Morgan Kaufmann.
2. Albus, J. S. (1975). A new approach to manipulator control: Cerebellar model articulation controller (cmac). Journal of Dynamic Systems, Measurement and Control, 97, 220-227.
3. Albus, J. S. (1981). Brains, Behavior, and Robotics. BYTE Books, Subsidiary of McGraw-Hill, Peterborough, New Hampshire.
4. Anderson, C. W. (1986). Learning and Problem Solving with Multilayer Connectionist Systems. Ph.D. thesis, University of Massachusetts, Amherst, MA.
5. Ashar, R. R. (1994). Hierarchical learning in stochastic domains. Master's thesis, Brown University, Providence, Rhode Island.
6. Baird, L. (1995). Residual algorithms: Reinforcement learning with function approximation. In Prieditis, A., & Russell, S. (Eds.), Proceedings of the Twelfth International Conference on Machine Learning, pp. 30-37 San Francisco, CA. Morgan Kaufmann.
7. Baird, L. C., & Klopf, A. H. (1993). Reinforcement learning with high-dimensional, continuous actions. Tech. rep. WL-TR-93-1147, Wright-Patterson Air Force Base Ohio: Wright Laboratory.