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Trajectory2Gym: Decision-Grounded Compositional Interaction Synthesis for Tool-Use Agents

330 upvotes · 24 OCT 2026 · Yihao Hu, Zhihao Wen, Yitong Lin et al.

This paper creates a new way to teach AI agents to use tools by generating realistic interactions that show how to use tools in a step-by-step way. Practitioners might care because it helps agents learn to use tools more effectively, especially in situations where the agent needs to remember previous actions and decisions.

tool-usecompositional interaction synthesisdecision groundingtrajectory supervisioncontinual learning