Conference Proceedings

Nash-Reinforcement Learning (N-RL) for Developing Coordination Strategies in Non-Transferable Utility Games

Kaveh Madani, Milad Hooshyar, Sina Khatami, Ali Alaeipour, Aida Moeini

2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | IEEE | Published : 2014

Abstract

Social (central) planning is normally used in the literature to optimize the system-wide efficiency and utility of multi-operator systems. Central planning tries to maximize system's benefits by coordinating the operators' strategies and reduce the externalities, assuming that all parties are willing to cooperate. This assumption implies that operators are willing to base their decisions based on group rationality rather than individual rationality, even if increased group benefits results in reduced benefits for some agents. This assumption limits the applicability of social planner's solutions, as perfect cooperation among agents is often infeasible in real world. Recognizing the fact that..

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University of Melbourne Researchers