learning in Deep Reinforcement Learning to Play Atari Games

In order to accelerate the learning process in high dimensional reinforcement learning problems, TD methods such as Q-learning and Sarsa are usually combined ...







Gradient Temporal-Difference Learning with Regularized Corrections
We demonstrate, for the first time, that Gra- dient TD methods can outperform Q-learning when using neural networks, in two classic control domains and two.
Temporal Difference (Sarsa and Q-Learning)
TD methods update their es>mates based in part on other es>mates. They learn a guess from a guess. Is this a good thing to do? Page 21 ...
MDP and RL: Q-learning, stochastic approximation
TD samples one-step and uses a previous estimation of V . ? DP needs all possible values of V (s?). MC: One full trajectory for update TD: ...



Autres Cours:

Reinforcement Learning - Rémy Degenne