Reinforcement Learning GitHub Repositories (2026) · Open Source Tools

Recipes and resources for training, building generative AI with Fireworks

autoupdate paper list

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

Mastering Poker with CFR variants: Building an AI for 6-Player No-Limit Texas Hold’em

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

Reinforcement learning framework for tool-augmented multi-answer question answering with step-wise peer advantage and diversity-aware exploration rewards.

An IsaacLab DirectEnv for basic quadrupedal locomotion tasks, with support for multiple quadruped robots, sim-to-sim, and sim-to-real pipelines

Official code for "Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models" (ICRA 2026): Flow Policy Optimization for pi0

An implementation of PPO in Pytorch

Human-feedback and data-governance infrastructure for RSI research: annotation, review, provenance and frozen dataset candidates.

Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.

R.L. methods and techniques.

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.