Search Results for author: Yingxuan Zhu

Found 2 papers, 0 papers with code

Knowledge-Guided Exploration in Deep Reinforcement Learning

no code implementations26 Oct 2022 Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li

This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of state-action permissibility (SAP).

reinforcement-learning Reinforcement Learning (RL)

Guided Exploration in Deep Reinforcement Learning

no code implementations27 Sep 2018 Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li, Yongbing Huang

This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of \textit{state-action permissibility} (SAP).

reinforcement-learning Reinforcement Learning (RL)

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