108 citations · 330 across the 34 of their papers we have counts for
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cs.AI2019
Transfer of Temporal Logic Formulas in Reinforcement Learning
Zhe Xu, Ufuk Topcu
Transferring high-level knowledge from a source task to a target task is an effective way to expedite reinforcement learning (RL). For example, propositional logic and first-order…
cs.AI2019★ 12 cited
Joint Inference of Reward Machines and Policies for Reinforcement Learning
Zhe Xu, Ivan Gavran, Yousef Ahmad +4
Incorporating high-level knowledge is an effective way to expedite reinforcement learning (RL), especially for complex tasks with sparse rewards. We investigate an RL problem where…