Post-Training

Verifiable Hidden Dynamics Play: Generating Agentic RL Environments from Solved Mechanisms
Generate diverse, stateful agentic RL environments with verifiable rewards by deriving both dynamics and evaluation from solved mechanisms.
Xinjie Shen 沈鑫杰, Wei Fan, Xudong Guo, Jianhong Tu, Yang Su, Chuqiao Kuang, Yinger Zhang, Dayiheng Liu
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Verifiable Hidden Dynamics Play: Generating Agentic RL Environments from Solved Mechanisms