Clean PyTorch implementations of imitation and reward learning algorithms
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Reinforcement Learning in PyTorch
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Tensorforce: a TensorFlow library for applied reinforcement learning
Implementation of all RL algorithms in a simpler way
