Awesome Python Data Science

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Deep Reinforcement Learning for Keras.

A library of reinforcement learning components and agents

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Accelerated deep learning R&D

Tensorforce: a TensorFlow library for applied reinforcement learning

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Safe Bayesian Optimization