Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs

• Main Authors: Nguyen, Duc Thien, YEOH, William, LAU, Hoong Chuin, Zilberstein, Shlomo, ZHANG, Chongjie
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2667; https://ink.library.smu.edu.sg/context/sis_research/article/3667/viewcontent/DecentralizedMultiAgentReinforcedLearningDCOPs_2014_aaai.pdf
• Institution: Singapore Management University

Researchers have introduced the Dynamic Distributed Constraint Optimization Problem (Dynamic DCOP) formulation to model dynamically changing multi-agent coordination problems, where a dynamic DCOP is a sequence of (static canonical) DCOPs, each partially different from the DCOP preceding it. Existin...