Training-Ready RL Environments + Evals

Environments for LLM Reinforcement Learning

Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.

Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.

SGLang is a fast serving framework for large language models and vision language models.

An interface library for RL post training with environments.

Learn GPU Programming in Mojo🔥 by Solving Puzzles

A large-scale traffic optimization using reinforcement learning on virtual traffic networks

A framework for multi-modal media summarization.