Modular Single-file Reinfocement Learning Algorithms Library
OTHER License
CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
强化学习-中文笔记&资源-以python实例为主-由浅入深
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
ChainerRL is a deep reinforcement learning library built on top of Chainer.
novel deep learning research works with PaddlePaddle
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MAD...
PFRL: a PyTorch-based deep reinforcement learning library
Reinforcement Learning Library.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
Single-file truly minimal implementation of state-of-the-art reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-f...
Train vision models using JAX and 🤗 transformers
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
Collection of reinforcement learning algorithms