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Nate Umbanhowar

1 accepted papers

2020

Value Preserving State-Action Abstractions

AISTATS 2020poster

Abstraction can improve the sample efficiency of reinforcement learning. However, the process of abstraction inherently discards information, potentially compromising an agent’s ability to represent high-value policies. To mitigate this, we here introduce combinations of state abstractions and optio…

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