#Rl
Showing 60 of 77 repositories tagged #rl, ranked by stars
Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用
An elegant PyTorch deep reinforcement learning library.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
MuZero
Implementation of papers in 100 lines of code.
A Survey of Reinforcement Learning for Large Reasoning Models
Scalable RL solution for advanced reasoning of language models
Implementation of all RL algorithms in a simpler way
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Understanding R1-Zero-Like Training: A Critical Perspective
[NeurIPS 2025] TTRL: Test-Time Reinforcement Learning
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
🎓 系统性大语言模型构建课程｜🛠️ 覆盖预训练数据工程、Tokenizer、Transformer、MoE、GPU 编程 (CUDA/Triton)、分布式训练、Scaling Laws、推理优化及对齐 (SFT/RLHF/GRPO)｜🚀 6 个渐进式作业 + 代码驱动，建立 LLM 全栈认知体系
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 provides 7* 24-hour comprehensive and in-depth protection.
Python library for Reinforcement Learning.
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向，无论你是初学者还是进阶开发者，都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势，并通过实践掌握从理论到落地的全过程。
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
A curated list of Monte Carlo tree search papers with implementations.
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
📘 The experiment tracker for foundation model training
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
A Gym for Agentic LLMs
A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models
Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.
Agentic RAG R1 Framework via Reinforcement Learning
Modular reinforcement learning framework for algorithmic trading
An environment to high-frequency trading agents under reinforcement learning
OSS RL environment + evals toolkit
AI research environment for the Atari 2600 games 🤖.
A native Mac App for LLM fine-tuning on Apple Silicon — fully on-device, fully open source.
Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).
:zap: :zap: 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Reinforcement Learning environments with Bevy
Generic reinforcement learning codebase in TensorFlow
Codes for the paper "BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping" by Zhiheng Xi et al.
Maximizing the Performance of a Simple RAG using RL
[ICLR'26] Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology
AI research environment for the game of Snake 🐍 .
Dataflow-Oriented Reinforcement Learning for (Multi-)Agentic LLMs
The code for the SRDQN algorithm to train an agent for the beer game problem
Proto-RL: Reinforcement Learning with Prototypical Representations
Dynamic Rollout Allocation and Advantage Modulation for Policy Optimization (DynaMO) - Official Implementation
How to create a challenge on EvalAI?
Implementation of Negative-aware Finetuning (NFT) algorithm for "Bridging Supervised Learning and Reinforcement Learning in Math Reasoning"
A Trading environment base on Gym
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Latest Advances on (RL based) Multimodal Reasoning and Generation in Multimodal LLMs