Explore live open-source projects and AI models.

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

We release Evo-RL, the opensource real-world offline RL on So-101 and AgileX PiPER for easier reproduction.

A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.

ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (template) in PyTorch.

No description available from source.

A lightweight robotics RL framework built on Genesis with IsaacLab-aligned APIs, enabling fast task development and easy migration from existing IsaacLab environments.

RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.

SelfTune is an RL framework that enables systems and service developers to automatically tune various configuration parameters and other heuristics in their codebase, rather than manually-tweaking, over time in deployment. It provides easy-to-use API (Python, C# bindings) and is driven by bandit-... Read more

A toolkit providing easy and unified access to building control environments for reinforcement learning (RL) [No longer actively maintained]