275 citations · 302 across the 21 of their papers we have counts for
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cs.LG2018
How to Combine Tree-Search Methods in Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer +1
Finite-horizon lookahead policies are abundantly used in Reinforcement Learning and demonstrate impressive empirical success. Usually, the lookahead policies are implemented with s…
cs.LG2018
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning
Yonathan Efroni, Gal Dalal, Bruno Scherrer +1
Multiple-step lookahead policies have demonstrated high empirical competence in Reinforcement Learning, via the use of Monte Carlo Tree Search or Model Predictive Control. In a rec…