Robust motion planning for multi-robot systems against position deception attacks
Deep reinforcement learning (DRL) is widely applied in motion planning for multi-robot systems as DRL leverages the offline training process to improve the real-time computation efficiency. In DRL-based methods, the DRL models compute an action for a robot based on the states of its surrounding obst...
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Main Authors: | Tang, Wenbing, Zhou, Yuan, Liu, Yang, Ding, Zuohua, Liu, Jing |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/176231 |
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Institution: | Nanyang Technological University |
Language: | English |
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