FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit Rewards
Zi-Hao Deng, Yi-Ning Zhu, Lei-Ming Wang et al.
· 0 citations
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Preprint
Aug 2026
On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models
The irreducible action-specific prediction error of future models that do not condition on the candidate action is characterized, conditions under which a world-action joint can recover an interventional forward model are identified, and an environment family is constructed in which every observational learner has posi...
Yu Yang
· 1 citation