Residual Algorithms: Reinforcement Learning with Function Approximation (1995)

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by Leemon Baird
Venue:In Proceedings of the Twelfth International Conference on Machine Learning
Citations:237 - 5 self

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Residual Algorithms: Reinforcement Learning with Function Approximation – unknown authors
20 Incremental Dynamic Programming for On-Line Adaptive Optimal Control – Steven J. Bradtke - 1994
22 Reinforcement Learning Through Gradient Descent – Leemon C. Baird, III, Scott Fahlman, Leslie Kaelbling - 1999
1 C3 Reinforcement Learning – S. Sathiya Keerthi, B. Ravindran
49 Learning to Solve Markovian Decision Processes – Satinder P. Singh - 1994
19 Advantage Updating Applied to a Differential Game – Mance E. Harmon, Leemon C. Baird, III, A. Harry Klopf - 1995
10 A Tutorial Survey of Reinforcement Learning – S Sathiya Keerthi, B Ravindran
2 Connectionist Adaptive Control – Timothy Tristram Jervis - 1993
unknown title – unknown authors
251 Generalization in Reinforcement Learning: Safely Approximating the Value Function – Justin A. Boyan, Andrew W. Moore - 1995
2 EFFICIENT APPROXIMATE POLICY ITERATION METHODS for . . . – Michail G. Lagoudakis - 2003
25 Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models – Satinder P. Singh - 1992
45 Problem Solving With Reinforcement Learning – Gavin Adrian Rummery - 1995
527 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
1298 Reinforcement learning: a survey – Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore - 1996
Solution of Delayed Reinforcement Learning Problems Having Continuous Action Spaces – B. Ravindran - 1996
6 Approximate Discounted Dynamic Programming Is Unreliable – Matthew A. F. Mcdonald, Philip Hingston - 1994
10 Modular On-line Function Approximation for Scaling up Reinforcement Learning – Chen Khong Tham - 1994
3 Greedy Adaptive Critics for LQR Problems: Convergence Proofs – Tomas Landelius, Hans Knutsson