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GARDEN framework proposed for evidence-based reward design in cooperative multi-agent RL

A new arXiv paper introduces GARDEN, a generalist autonomous reward design method using evidence navigation for cooperative multi-agent reinforcement learning, aimed at helping teams of agents like robots and autonomous vehicles learn coordinated behavior.

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-30 04:00 · arXiv cs.AI
    GARDEN: Generalist Autonomous Reward Design Through Evidence Navigation for Cooperative Multi-Agent Reinforcement Learning

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