The authors built VHD-Play, a pipeline that samples a mathematical model, computes its solution and scoring reference, and then uses a corpus-grounded setter model to express the mechanism as an interactive environment.
Solved mathematical mechanisms can generate verifiable training worlds for AI agents
VHD-Play derives interactive environments and outcome scores from the same solved model, reducing the need to align simulators and evaluators after construction.
Chinese Tech
Xinjie Shen · Wei Fan · Xudong Guo · Jianhong Tu · Yang Su · Chuqiao Kuang · +2 more
Georgia Institute of Technology · Alibaba Token Foundry, Alibaba Group
Research Digest··2 min read
Thread:RL for Tool Agents
Shen et al.
Why this paper
From Alibaba Token Foundry, Alibaba Group and Georgia Institute of Technology · Part of RL for Tool Agents, now 13 papers
In one line
Generating agentic RL training environments from pre-solved mathematical mechanisms yields cheap, verifiable, stateful tasks that transfer to unseen and external benchmarks.
What we could check
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