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pro vyhledávání: '"Sudhakara, Sagar"'
Autor:
Sudhakara, Sagar
In the context of IoT deployments, a multitude of devices concurrently require network access to transmit data over a shared communication channel. Employing symmetric strategies can effectively facilitate the collaborative use of the communication m
Externí odkaz:
http://arxiv.org/abs/2310.15529
Autor:
Sudhakara, Sagar, Nayyar, Ashutosh
We consider a cooperative multi-agent system consisting of a team of agents with decentralized information. Our focus is on the design of symmetric (i.e. identical) strategies for the agents in order to optimize a finite horizon team objective. We st
Externí odkaz:
http://arxiv.org/abs/2307.07150
We consider a multi-agent system in which a decentralized team of agents controls a stochastic system in the presence of an adversary. Instead of committing to a fixed information sharing protocol, the agents can strategically decide at each time whe
Externí odkaz:
http://arxiv.org/abs/2209.03888
Publikováno v:
Proc 2022 IEEE Conference on Decision and Control
We revisit the Thompson sampling algorithm to control an unknown linear quadratic (LQ) system recently proposed by Ouyang et al (arXiv:1709.04047). The regret bound of the algorithm was derived under a technical assumption on the induced norm of the
Externí odkaz:
http://arxiv.org/abs/2108.08502
We consider the problem of controlling an unknown linear quadratic Gaussian (LQG) system consisting of multiple subsystems connected over a network. Our goal is to minimize and quantify the regret (i.e. loss in performance) of our strategy with respe
Externí odkaz:
http://arxiv.org/abs/2108.07970
The problem of controlling multi-agent systems under different models of information sharing among agents has received significant attention in the recent literature. In this paper, we consider a setup where rather than committing to a fixed informat
Externí odkaz:
http://arxiv.org/abs/2104.10923
We consider optimal control of an unknown multi-agent linear quadratic (LQ) system where the dynamics and the cost are coupled across the agents through the mean-field (i.e., empirical mean) of the states and controls. Directly using single-agent LQ
Externí odkaz:
http://arxiv.org/abs/2011.04686
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