WooooDyy/AgentGym

Integrates 14 diverse environments—web navigation, text games, embodied tasks, and SQL reasoning—standardized via ReAct format with HTTP-based environment servers enabling modular deployment and custom environment development. The AgentEvol method trains agents through trajectory-based self-evolution, supported by AgentTraj-L trajectory dataset and AgentEval benchmark; includes RL framework variant (AgentGym-RL) for direct interactive learning with multi-turn reinforcement learning on long-horizon tasks.

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