Author

Takumi Hara

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#machine learning Preprint Oct 2026

Supervise What Decides Success: Criterion-Aligned Auxiliary Losses for Latent World-Model Planning

Latent world models plan by scoring candidate action sequences with distances in latent space. However, task success is judged by physical quantities, which we call the success-criterion quantities. In all four latent world models we examine, the end-effector position is encoded in the latent state with an error larger...

Takumi Hara, Kanata Suzuki · 0 citations

Conference Open access Aug 2026

Emergence of Social Reasoning through Adaptive Evolution of LLMs

A constructive, artificial-life approach that treats LLMs as model organisms investigating the emergent mechanisms of cognitive functions through biological adaptive evolution rather than static analysis is proposed, as a step toward understanding the human-AI societies now taking form.

Takumi Hara, Takaya Arita, Reiji Suzuki · IEEE Symposium on Artificial... · 0 citations