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ROTATE

model1 events
papersSEP 10 04:00 UTC

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

A new arXiv paper presents ROTATE, a training method designed to help agents cooperate effectively with partners they have never seen before, a problem known as ad hoc teamwork. Rather than relying on a pre-built, fixed set of teammate agents followed by a separate coordination stage, the approach uses regret signals to continuously steer the creation of training collaborators. The work addresses generalization in multi-agent reinforcement learning.

multi-agent/reinforcement-learning/generalization/open-ended