137 citations · 527 across the 41 of their papers we have counts for
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cs.LG2018★ 125 cited
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Tom Zahavy, Matan Haroush, Nadav Merlis +2
Learning how to act when there are many available actions in each state is a challenging task for Reinforcement Learning (RL) agents, especially when many of the actions are redund…
cs.LG2018
Hierarchical Reinforcement Learning: Approximating Optimal Discounted TSP Using Local Policies
Tom Zahavy, Avinatan Hasidim, Haim Kaplan +1
In this work, we provide theoretical guarantees for reward decomposition in deterministic MDPs. Reward decomposition is a special case of Hierarchical Reinforcement Learning, that…