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METTA: Memory-Enhanced Test-Time Adaptation for Meta-Reinforcement Learning.

arXiv:2610.31656v1 Announce Type: cross Abstract: Meta-reinforcement learning aims to train agents that adapt quickly to unseen tasks from limited interaction, but this requires representing task evidence over long interaction histories. Classical recurrent ag

arXiv cs.AIResearch source·