Reinforcement Learning
TD learning is central in reinforcement learning due to its bootstrapping and prediction abil- ity. As such, TD learning has been used for prediction problems, ...
Gradient Temporal-Difference Learning Algorithms - Rich SuttonWe explore fixed-horizon temporal difference (TD) methods, reinforcement learning algorithms for a new kind of value function that predicts the sum of ... TD-Regularized Actor-Critic MethodsActor-critic methods can achieve incredible performance on difficult reinforcement-learning problems, but they are also prone to instability due to the ... Solutions to Exercises in Reinforcement Learning by Richard S ...This is an exercise to help develop your intuition about why TD methods are often more efficient than Monte Carlo methods. Consider the driving home example and ...
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