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Trajectory2Gym framework enhances tool-use agent training with decision grounding · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Researchers have developed Trajectory2Gym, a novel framework designed to improve the training of tool-use agents. This system focuses on constructing interactions that ensure compositional coverage and decision grounding, rather than simply collecting successful trajectories. By deriving supervision from grounded decisions within realized executions, Trajectory2Gym aims to create more learnable interaction experiences. Across five scales of the Qwen3 model, this approach significantly boosted performance on the Tau1, Tau2, and BFCL benchmarks, showing the strongest gains in stateful and multi-turn interactions. AI

IMPACT Enhances training methodologies for AI agents, potentially improving their ability to handle complex, multi-step tasks.

RANK_REASON The cluster contains a research paper detailing a new framework for training AI agents.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Trajectory2Gym framework enhances tool-use agent training with decision grounding · 2 sources tracked

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yihao Hu, Zhihao Wen, Yitong Lin, Siyuan Lu, Pan Wang, Wei Wu, Jiang-Ming Yang, Tao Lin ·

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

    arXiv:2610.33568v1 Announce Type: new Abstract: Successful tool-use trajectories are not necessarily useful supervision. Even successful interactions may underrepresent multi-step dependencies or contain actions that are unjustified by the information visible to the agent at deci…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

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

    Trajectory2Gym improves tool-use training by constructing interactions with compositional coverage and decision grounding rather than collecting successful trajectories.

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