Actor-Hybrid-Attention-Critic for Multi-Logistic Robots Path Planning
Author:
Affiliation:
1. School of Automation, Xi'an University of Posts and Telecommunications, Xi'an, China
2. Second Construction Company, Ltd., China Construction Eighth Bureau, Jinan, China
Funder
Science and Technology Department of Shaanxi Province
Technology Innovation Guidance Program of Shaanxi Province
Shaanxi Provincial Education Department Service Local Special Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10504377/10517421.pdf?arnumber=10517421
Reference17 articles.
1. A Novel Warehouse Multi-Robot Automation System with Semi-Complete and Computationally Efficient Path Planning and Adaptive Genetic Task Allocation Algorithms
2. Multi-agent Pathfinding Based on Improved Cooperative A* in Kiva System
3. Intelligent Warehouse Robot Path Planning Based on Improved Ant Colony Algorithm
4. AGV Path Planning Model based on Reinforcement Learning
5. Actor-attention-Critic for multi-agent reinforcement learning;Iqbal,2019
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