Online Inverse Reinforcement Learning Under Occlusion

adaptive agents and multi-agents systems, pp. 1170-1178, 2019.

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Inverse reinforcement learning (IRL) is the problem of learning the preferences of an agent from observing its behavior on a task. While this problem is witnessing sustained attention, the related problem of online IRL where the observations are incrementally accrued, yet the real-time demands of the application often prohibit a full reru...More



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