Robust reinforcement learning

Advances in Neural Information Processing Systems

Volumn , Issue , 2001, Pages

  Morimoto, Jun ^a   Doya, Kenji ^b  

^a JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; PENDULUMS;

DIFFERENTIAL GAMES; ENVIRONMENTAL CHANGE; ENVIRONMENTAL MODEL; INVERTED PENDULUM; OFF-LINE LEARNING; ON-LINE ALGORITHMS; REAL ENVIRONMENTS; ROBUST PERFORMANCE;

REINFORCEMENT LEARNING;

EID: 0346871047     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. S. J. Bradtke. Reinforcement learning Applied to Linear Quadratic Regulation. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems 5, pages 295-302. Morgan Kaufmann, San Mateo, CA, 1993.
3. K. Doya. Reinforcement Learning in Continuous Time and Space. Neural Computation, 12(1):219-245, 2000.
4. J. Morimoto and K. Doya. Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. In Proceedings of Seventeenth International Conference on Machine Learning, pages 623-630, San Francisco, CA, 2000. Morgan Kaufmann.
5. ∞, and the Riccati Equation. In Proceedings of the Workshop on the Riccati Equation in Control, Systems, and Signals, pages 156-159. 1989.
6. K. Zhou, J. C. Doyle, and K. Glover. Robust Optimal Control. PRENTICE HALL, New Jersey, 1996.