Web: http://arxiv.org/abs/2201.11817

Jan. 31, 2022, 2:11 a.m. | Marcel Binz, Eric Schulz

cs.LG updates on arXiv.org arxiv.org

Equipping artificial agents with useful exploration mechanisms remains a
challenge to this day. Humans, on the other hand, seem to manage the trade-off
between exploration and exploitation effortlessly. In the present article, we
put forward the hypothesis that they accomplish this by making optimal use of
limited computational resources. We study this hypothesis by meta-learning
reinforcement learning algorithms that sacrifice performance for a shorter
description length. The emerging class of models captures human exploration
behavior better than previously considered approaches, …

arxiv brain exploration

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