rl

[EMNLP 2026] 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

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

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

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

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

Hearthstone simulator using C++ with some reinforcement learning

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.

Latest Advances on Long Chain-of-Thought Reasoning

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

ROS2-Control implementations for Quadruped robots, include sim2real

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.

Multi-Objective Reinforcement Learning algorithms implementations.

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

A Gym for Agentic LLMs

Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization