Top REINFORCEMENT-LEARNING GitHub Repositories & Tools (2026)

Learn it. Build it. Ship it for others.

Infrastructure for continually self‑improving agents

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

SGLang is a high-performance serving framework for large language models and multimodal models.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A curated list of fruit fly connectome projects: MaleCNS, FlyWire, brain simulations, embodied models, games, and research tools.

A Python library for running thousands of MuJoCo simulations in parallel on CPU

AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models

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

A curated list of software, simulators, policies, agent tools and coverage for the Pollen Robotics / Hugging Face Microduck robot

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

Auditable human-feedback annotation, review, provenance, and frozen training-data export.