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 ...







Incremental Least-Squares Temporal Difference Learning - AAAI
The least-squares TD algorithm (LSTD) is a recent alter- native proposed by Bradtke and Barto (1996) and extended by Boyan (1999; 2002) and Xu et al. (2002).
An Analysis Of Temporal-difference Learning With Function ... - MIT
Temporal-difference learning, originally proposed by Sutton. [2], is a method for approximating long-term future cost as a function of current state. The ...
Temporal-Difference Search in Computer Go - David Silver
In this section we develop our main idea: the TD search algorithm. We build on the reinforcement learning approach from Section 3, but here we apply TD learning ...



Autres Cours:

Neural Temporal-Difference Learning Converges to Global Optima