d2rl

There are 5 repositories under d2rl topic.

  • BY571/Soft-Actor-Critic-and-Extensions

    PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

    Language:Python28671032

  • BY571/D4PG

    PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

    Language:Python20204

  • LQNew/Deeper_Larger_Actor-Critic_RL

    Pytorch implementation of large network design in continous control RL.

    Language:Python19110

  • shadowbourne/R2D4-RL

    Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).

    Language:Python7111

  • BY571/TD3-and-Extensions

    PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradient (TD3) - including additional Extension to improve the algorithm's performance.

    Language:Python2201