Learning non-Markovian Decision-Making from State-only Sequences

May-1-2026, 02:02:59 GMT–Neural Information Processing Systems

Conventional imitation learning assumes access to the actions of demonstrators, but these motor signals are often non-observable in naturalistic settings.

machine learning, reinforcement learning, transition, (15 more...)

Neural Information Processing Systems

May-1-2026, 02:02:59 GMT

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Learning non-Markovian Decision-Making from State-only Sequences Aoyang Qin,1, 2 Feng Gao 3 Qing Li

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