CoDA: Co-Evolution of Data Engines and Action Policies
This work introduces CoDA, a framework in which a simulation data engine and an action policy co-evolve through a shared heterogeneous memory of environment construction, policy failures, and learning progress, and proposes Text2potential to convert these diagnoses into staged potentials for action-chunk value learning...
Tianjiao Yu, Zhi-Lin Ou, Yi-Fan Shen et al.
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