An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
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An elegant PyTorch deep reinforcement learning library.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A library of reinforcement learning components and agents
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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.
A toolkit for reproducible reinforcement learning research.
Clean PyTorch implementations of imitation and reward learning algorithms
An offline deep reinforcement learning library
An Open Flexible Quadrotor Simulator
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
Scalable, event-driven, deep-learning-friendly backtesting library
Gibson Environments: Real-World Perception for Embodied Agents
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Maze Applied Reinforcement Learning Framework
Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0