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News/Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling
arxiv
PublishedMay 15, 2026 at 4:00 AM
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Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling

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arXiv:2605.14350v1 Announce Type: new Abstract: Multi-task reinforcement learning (MTRL) aims to train a single agent to efficiently optimize performance across multiple tasks simultaneously. However, jointly optimizing all tasks often yields imbalanced learning: agents quickly solve easy tasks but

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