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Boris Vidolov

2 accepted papers

2026

Structure Enables Effective Self-Localization of Errors in LLMs

ICML 2026poster

Self-correction in language models remains elusive. In this work, we explore whether language models can explicitly localize errors in incorrect reasoning, as a path toward building AI systems that can effectively correct themselves. We introduce a prompting method that structures reasoning as discr…

Cited by 0SourceScholar
2021

Decentralized Multi-Agent Pursuit Using Deep Reinforcement Learning

RA-L 2021

Pursuit-evasion is the problem of capturing mobile targets with one or more pursuers. We use deep reinforcement learning for pursuing an omnidirectional target with multiple, homogeneous agents that are subject to unicycle kinematic constraints. We use shared experience to train a policy for a given

Cited by 136SourceScholar