Shypd.aiThe largest open index of AI toolsAgentGym-RL is an AI Frameworks & Infra tool that trains LLM agents for multi-turn interactive decision-making through reinforcement learning. It supports diverse real-world scenarios and mainstream RL algorithms.
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AgentGym-RL is a comprehensive framework designed for training Large Language Model (LLM) agents to excel in long-horizon, multi-turn interactive decision-making tasks using reinforcement learning. It addresses challenges in existing methods by offering a modular system that supports a wide array of real-world scenarios and integrates mainstream RL algorithms. The framework introduces ScalingInter-RL, a progressive horizon-scaling strategy that balances exploration and exploitation, leading to stable and efficient optimization. It includes diverse environments like Web Navigation, Deep Search, Digital Games, Embodied Tasks, and Scientific Tasks, and supports various training paradigms beyond online RL, such as SFT, DPO, and AgentEvol. AgentGym-RL also provides a visualized interactive user interface for analyzing interaction trajectories.
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