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arxiv_cs_lg · Oct 22, 2026 · paper

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

arxiv.orgOct 22, 2026
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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 agents co...

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

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