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Published in 2020 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2019.2927201
Abstract: In this paper, differential games with incomplete information, or Bayesian games, are formulated for multiagent continuous-time dynamical systems in a communication graph. These new Bayesian graphical games model the situation where the agents are uncertain…
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Keywords:
synchronization networks;
bayesian graphical;
dynamical systems;
graphical games ... See more keywords
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Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3065654
Abstract: This article studies multiagent differential graphical games in linear dynamical networks. We point out that in existing graphical game formulations, being global Nash and being distributed are two contradicting properties. In particular, we prove that…
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Keywords:
graphical game;
global nash;
nash equilibrium;
graphical games ... See more keywords
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Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2609500
Abstract: This paper develops an off-policy reinforcement learning (RL) algorithm to solve optimal synchronization of multiagent systems. This is accomplished by using the framework of graphical games. In contrast to traditional control protocols, which require complete…
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Keywords:
policy;
policy reinforcement;
synchronization multiagent;
reinforcement learning ... See more keywords
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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2927233
Abstract: Pairwise-interaction graphical games have been widely used in the study and design of strategic interaction in multiagent systems. With regard to this issue, one entitative problem is actually to understand how the interaction structure of…
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Keywords:
replicator dynamics;
interaction graphical;
pairwise interaction;
interaction ... See more keywords