rl

45 projects share this GitHub topic

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🧬 Members

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents…

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

AlphaZero_Gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization…

Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

Awesome-RL-for-LRMs

A Survey of Reinforcement Learning for Large Reasoning Models

all-rl-algorithms

Implementation of all RL algorithms in a simpler way

Scalable RL solution for advanced reasoning of language models

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and…

Reinforcement Learning via Self-Distillation (SDPO)

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager…

Python library for Reinforcement Learning.

3D-printed open-source humanoid robot platform for sim-to-real and RL

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research ·…

stable-baselines3-contrib

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

Matterport3DSimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt,…

Hearthstone simulator using C++ with some reinforcement learning

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to…

Awesome-Long-Chain-of-Thought-Reasoning

Latest Advances on Long Chain-of-Thought Reasoning

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and…

awesome-on-policy-distillation

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of…

meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic,…

Multi-Objective Reinforcement Learning algorithms implementations.

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

A universal flight control tuning framework

Agentic RAG R1 Framework via Reinforcement Learning

DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

Modular reinforcement learning framework for algorithmic trading

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support…

model-based-diffusion

Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based…

Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as…

stable-baselines

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

🔗 Related families

gym 39 stable-baselines 5 reasoning 52 grpo 25 monte-carlo-tree-search 7 control 42 multi-agent-reinforcement-learning 22 multi-agent-systems 87

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