Open RL Benchmark 0.6.0

Open source code, open progress, and open reproducibility. Made by Costa Huang using Weights & Biases
Costa Huang
Open RL Benchmark by CleanRL is a comprehensive, interactive and reproducible benchmark of deep Reinforcement Learning (RL) algorithms. It uses Weights and Biases to keep track of the experiment data of popular deep RL algorithms (e.g. DQN, PPO, DDPG, TD3) in a variety of games (e.g. Atari, Mujoco, PyBullet, Procgen, Griddly, MicroRTS). The experiment data includes:

Showcased Environments

Report Gallery


We want to provide this experience for as many deep RL algorithms and games as possible. If you share this vision, consider checking out our contribution guide.