Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search-Reference-Cited by-同舟云学术

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Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search

Published:2023-08 Issue:4 Volume:39 Page:2569-2584
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Guo Hongliang¹^ORCID,Liu Zhaokai²,Shi Rui²,Yau Wei-Yun¹^ORCID,Rus Daniela³^ORCID

Affiliation:

1. Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore

2. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Robotics Horizontal Technology Coordinating Office, Agency for Science, Technology and Research, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8860/10214173/10102606.pdf?arnumber=10102606

Reference48 articles.

1. Multi-robot Search Algorithm using Timed Random Switching of Exploration Approaches

2. Multi-Agent Cooperative Target Search Based on Reinforcement Learning

3. Multi-agent pursuit-evasion game based on organizational architecture;souidi;J Comput Inf Technol,2019

4. PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search

5. Integration of N-GCPSO Algorithm with Spatial Particle Extension Algorithm for Multi-Robot Search

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MPC‐based cooperative multiagent search for multiple targets using a Bayesian framework;Journal of Field Robotics;2024-06-19

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