actor-critic algorithms

This page summarizes the projects mentioned and recommended in the original post on

Our great sponsors
  • SonarQube - Static code analysis for 29 languages.
  • Scout APM - Less time debugging, more time building
  • SaaSHub - Software Alternatives and Reviews
  • q-learning-algorithms

    This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

    I learn quite some things about reinforcement learning in the last months, and I feel like I understand much better deep-Q learning algorithms (if you want, you can check my [repo]( I would like to change a little bit my focus towards actor-critics algorithms now. The only thing is, I feel like in comparison to Q-learning algorithms, the explanations of the papers are not as precise as for Q-learning, and explanations on the internet diverge really greatly (e.g. the original paper does not give the A2C but only the A3C for one learner).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts