Work

Observer-Based Multi-Agent Reinforcement Learning for Pursuit-Evasion Game With Multiple Unknown Uncertainties

Year: 2025

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2025.3560757

Authors: Yangyang Liu, Chun Liu, Yizhen Meng, Bin Jiang, Xiaofan Wang

Institutions: Shanghai University, Nanjing University of Aeronautics and Astronautics, Shanghai Institute of Technology

Language: English

Topic: Adaptive Dynamic Programming Control

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G4405644799, G5336079314, G5779413134, G6327818892

OpenAlex ID: W4409473658

FWCI: 4.288

Cites: 35

Cited by: 9

Related to: 10