Lecture 21 (TD Learning with Linear Function Approximation)
Ever since the days of Shannon's proposal for a chess-playing algorithm [12] and Samuel's checkers-learning program [10] the domain of complex board games ...
TD-learning and Q-learningTemporal Difference Learning with function approximation is known to be un- stable. Previous work like Sutton et al. (2009b) and Sutton et al. (2009a) has. Temporal Difference Learning and TD-GammonTemporal Difference (TD) learning is a widely used class of algorithms in reinforcement learn- ing. The success of TD learning algorithms relies heavily on the ... Adaptive Learning Rate Selection for Temporal Difference LearningTemporal difference learning with linear function approximation is a popular method to obtain a low-dimensional approximation of the value func-.
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