Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

Feb-8-2026, 07:07:26 GMT–Neural Information Processing Systems

Humans can quickly learn new tasks from just a handful of examples by preserving rich representations of experience [1].

dynamic model, machine learning, reinforcement learning, (12 more...)

Neural Information Processing Systems

Feb-8-2026, 07:07:26 GMT

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Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

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