Temporal consistency loss & Ape-X DQfD
An algorithm consists of three components: the transformed Bellman operator, the temporal consistency (TC) loss and the combination of Ape-X DQN and DQfD to learn a more consistent human-level policy. ...
An algorithm consists of three components: the transformed Bellman operator, the temporal consistency (TC) loss and the combination of Ape-X DQN and DQfD to learn a more consistent human-level policy. ...
Notes on Entropy-Regularized Reinforcement Learning via SQL & SAC ...
Notes on Deterministic Policy Gradient algorithms ...
Notes on policy optimization using trust region method. ...
Notes on DQN and its variants. ...