Pinned

1. Soft-Actor-Critic-and-Extensions Public

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

   Python 192 22

2. Upside-Down-Reinforcement-Learning Public

   Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

   Jupyter Notebook 71 9

3. DQN-Atari-Agents Public

   DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

   Jupyter Notebook 83 13

4. Deep-Reinforcement-Learning-Algorithm-Collection Public

   Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

   Jupyter Notebook 56 12

5. IQN-and-Extensions Public

   PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and…

   Jupyter Notebook 45 15

6. CQL Public

   PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

   Python 57 12