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1. Soft-Actor-Critic-and-Extensions 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 271 32

2. Upside-Down-Reinforcement-Learning Upside-Down-Reinforcement-Learning Public

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

   Jupyter Notebook 76 10

3. DQN-Atari-Agents 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 120 14

4. CQL 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 124 23

5. IQN-and-Extensions 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 81 16

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

   Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

   Jupyter Notebook 73 14