Arelative position descriptor for multi-agent reinforcement learning
Author:
Affiliation:
1. China Electronics Technology Group Corporation,Information Science Academy,Beijing,P. R. China,100080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239841.pdf?arnumber=10239841
Reference29 articles.
1. Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents
2. Distributed Vehicle Tracking in Wireless Sensor Network: A Fully Decentralized Multiagent Reinforcement Learning Approach
3. Formation Control of Differential Mo-bile Robots with Diamond-shaped Input Constraints;wang;Chinese Control Conference,2022
4. Multi-agent Actor-critic for Mixed Cooperative-competitive Environments;lowe;Advances in neural information processing systems,2017
5. Deep Reinforcement Learning for Swarm Systems;hüttenrauch;Journal of Machine Learning Research,2019
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