RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC,A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
APACHE-2.0 License
A curated list of useful Python packages for data geeks
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
Collection of reinforcement learning algorithms
PFRL: a PyTorch-based deep reinforcement learning library
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
PyTorch implementations of deep reinforcement learning algorithms and environments
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-f...
Minimal and Clean Reinforcement Learning Examples
RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementati...
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MAD...
Modular Single-file Reinfocement Learning Algorithms Library
CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...