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Multi-State-Space Reasoning Reinforcement Learning for Long-Horizon RFID-Based Robotic Searching and Planning Tasks

Zhitao Yu Jian Zhang Shiwen Mao Senthilkumar C G Periaswamy Justin Patton

通信与信息网络学报（英文）2022，Vol.7Issue(3)：P.239-251,13.

Multi-State-Space Reasoning Reinforcement Learning for Long-Horizon RFID-Based Robotic Searching and Planning Tasks

Zhitao Yu ¹Jian Zhang ²Shiwen Mao ³Senthilkumar C G Periaswamy ⁴Justin Patton⁴

作者信息

1. Department of Electrical and Computer Engineering,Auburn University,Auburn,AL 36849-5201,USA RFID Lab at Auburn University,Auburn,AL 36849,USA
2. Department of Electrical and Computer Engineering,Kennesaw State University,Kennesaw,GA 30144,USA
3. Department of Electrical and Computer Engineering,Auburn University,Auburn,AL 36849-5201,USA
4. RFID Lab at Auburn University,Auburn,AL 36849,USA
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摘要

关键词

reinforcement learning/multiple state spaces/abstract reasoning/long-horizon robotic task

分类

信息技术与安全科学

引用本文复制引用

Zhitao Yu,Jian Zhang,Shiwen Mao,Senthilkumar C G Periaswamy,Justin Patton..Multi-State-Space Reasoning Reinforcement Learning for Long-Horizon RFID-Based Robotic Searching and Planning Tasks[J].通信与信息网络学报（英文）,2022,7(3):P.239-251,13.

基金项目

supported in part by the NSF under Grants ECCS-1923163 and CNS-2107190 （）

through the RFID Lab and the Wireless Engineering Research and Education Center at Auburn University,Auburn,AL,USA. （）

通信与信息网络学报（英文）

OACSCDEI

ISSN：2096-1081

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