Aug 24, 2022 · In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a behavioral control framework is proposed for ...
Behavioral control task supervisor with memory based on reinforcement learning for human—multi-robot coordination systems · Jie Huang, Zhibin Mo, +1 author
Behavioral control task supervisor with memory based on ...
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In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a behavioral control framework is proposed for human–multi-robot ...
The proposed RLTS with memory provides a detailed integration of the deep Q-network (DQN) and long short-term memory (LSTM) within the NSBC framework, to ...
Abstract: In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a behavioral control framework is proposed for ...
In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a behavioral control framework is proposed for human—multi-robot ...
In this study, a novel reinforcement learning task supervisor (RLTS) with memory in a behavioral control framework is proposed for human—multi-robot ...
Behavioral control task supervisor with memory based on reinforcement learning for human—multi-robot coordination systems. https://doi.org/10.1631/fitee ...
Behavioral control task supervisor with memory based on reinforcement learning for human—multi-robot coordination systems. Huang J., Mo Z., Zhang Z., Chen Y ...
In this paper, a novel reinforcement learning mission supervisor (RLMS) with memory is proposed for human-multi-robot coordination systems (HMRCS).