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Lorenzo Pantè

1 paper hereh-index 00 citations1 works total

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  • first author1

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fields
  • cs.LG1

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collaborators

1 paper

cs.LG2026

Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs

Lorenzo Pantè, Andrea Fanti, Roberto Capobianco

Open-ended curricula in Reinforcement Learning (RL) aim to train generally-capable agents by identifying tasks that facilitate learning increasingly complex skills. A major challen…

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