What's the best "Non-Black Box" framework for SOTA algorithms?

• skrl

  7 401 9.3 Python

  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

I encourage you to try skrl (https://skrl.readthedocs.io).

• cleanrl

  41 4,459 6.3 Python

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

CleanRL is the gold standard for "approachable implementations" of the most popular RL algorithms, imo. Can't really beat single-file implementations in <= 200 lines of Python.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• autonomous-learning-library

  2 638 7.6 Python

  A PyTorch library for building deep reinforcement learning agents.

I find Autonomous Learning Library well-designed and clean, despite its modularity to some degree.

Suggest a related project