Feb. 15, 2024, 5:42 a.m. | Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09113v1 Announce Type: new
Abstract: Exploration is the key ingredient of reinforcement learning (RL) that determines the speed and success of learning. Here, we quantify and compare the amount of exploration and learning accomplished by a Reinforcement Learning (RL) algorithm. Specifically, we propose a novel measure, named Exploration Index, that quantifies the relative effort of knowledge transfer (transferability) by an RL algorithm in comparison to supervised learning (SL) that transforms the initial data distribution of RL to the corresponding final …

abstract algorithm arxiv cs.lg exploration index key measuring novel policy reinforcement reinforcement learning space speed success the key transport type via

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