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pro vyhledávání: '"Kartik, Dhruva"'
Autor:
Kalagarla, Krishna C., Kartik, Dhruva, Shen, Dongming, Jain, Rahul, Nayyar, Ashutosh, Nuzzo, Pierluigi
Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic specifications. The system state is often partially observable. Moreo
Externí odkaz:
http://arxiv.org/abs/2305.14736
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
Autor:
Kalagarla, Krishna C., Kartik, Dhruva, Shen, Dongming, Jain, Rahul, Nayyar, Ashutosh, Nuzzo, Pierluigi
Autonomous agents often operate in scenarios where the state is partially observed. In addition to maximizing their cumulative reward, agents must execute complex tasks with rich temporal and logical structures. These tasks can be expressed using tem
Externí odkaz:
http://arxiv.org/abs/2203.09038
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
Decentralized team problems where players have asymmetric information about the state of the underlying stochastic system have been actively studied, but \emph{games} between such teams are less understood. We consider a general model of zero-sum sto
Externí odkaz:
http://arxiv.org/abs/2102.05838
The problem of adaptive sampling for estimating probability mass functions (pmf) uniformly well is considered. Performance of the sampling strategy is measured in terms of the worst-case mean squared error. A Bayesian variant of the existing upper co
Externí odkaz:
http://arxiv.org/abs/2012.04137
The problem of verifying whether a multi-component system has anomalies or not is addressed. Each component can be probed over time in a data-driven manner to obtain noisy observations that indicate whether the selected component is anomalous or not.
Externí odkaz:
http://arxiv.org/abs/2005.07696
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Two active hypothesis testing problems are formulated. In these problems, the agent can perform a fixed number of experiments and then decide on one of the hypotheses. The agent is also allowed to declare its experiments inconclusive if needed. The f
Externí odkaz:
http://arxiv.org/abs/1911.06912
Autor:
Kartik, Dhruva, Nayyar, Ashutosh
A general model for zero-sum stochastic games with asymmetric information is considered. In this model, each player's information at each time can be divided into a common information part and a private information part. Under certain conditions on t
Externí odkaz:
http://arxiv.org/abs/1909.01445