Adaptive Learning Rate Selection for Temporal Difference Learning

Temporal 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 Splitting
Temporal-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 Optima
Different from existing consensus-type TD algorithms, the ap- proach here develops a simple decentralized TD tracker by wedding TD learning with gradient ...
Target-Based Temporal-Difference Learning
In this work, we introduce a new family of target-based temporal difference (TD) learning algorithms that main- tain two separate learning parameters ? the ...



Autres Cours:

Temporal Difference Learning and TD-Gammon