AgentGym-RL

AgentGym-RL

Multi-turn RL for long-horizon LLM agents

Description

Teaching LLM agents tasks that take dozens of decisions is hard with single-turn training. AgentGym-RL from Fudan trains LLM agents for long-horizon decision making with multi-turn reinforcement learning.

It offers web navigation, search, games and science environments in a unified framework, with trained open models rivaling commercial ones.

Features



Multi-turn RL:Long-horizon decisions.

Environments:Web, search and games.

Framework:Modular training.