Temporal Difference Learning and TD-Gammon
Temporal 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-. Temporal Difference Learning as Gradient SplittingTemporal-difference learning (TD), coupled with neural networks, is among the most fundamental building blocks of deep reinforcement learning. However, due. Neural Temporal-Difference Learning Converges to Global OptimaDifferent from existing consensus-type TD algorithms, the ap- proach here develops a simple decentralized TD tracker by wedding TD learning with gradient ...
Autres Cours:
