rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
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Reinforcement Learning in PyTorch
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
SBX: Stable Baselines Jax (SB3 + Jax)
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Reinforcement Learning Library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-f...
Collection of reinforcement learning algorithms
PFRL: a PyTorch-based deep reinforcement learning library
Implementations of Reinforcement Learning and Planning algorithms
ChainerRL is a deep reinforcement learning library built on top of Chainer.
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DP...
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods f...
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...