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20182022
most citedEntropy Maximization for Markov Decision Processes Under Temporal Logic Constraints

28 citations · 31 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.OC2021★ 1 cited

On the Detection of Markov Decision Processes

Xiaoming Duan, Yagiz Savas, Rui Yan +2

We study the detection problem for a finite set of Markov decision processes (MDPs) where the MDPs have the same state and action spaces but possibly different probabilistic transi…

cs.AI2021

Deceptive Decision-Making Under Uncertainty

Yagiz Savas, Christos K. Verginis, Ufuk Topcu

We study the design of autonomous agents that are capable of deceiving outside observers about their intentions while carrying out tasks in stochastic, complex environments. By mod…

math.OC2021

Entropy Maximization for Partially Observable Markov Decision Processes

Yagiz Savas, Michael Hibbard, Bo Wu +2

We study the problem of synthesizing a controller that maximizes the entropy of a partially observable Markov decision process (POMDP) subject to a constraint on the expected total…

math.OC2021

On Minimizing Total Discounted Cost in MDPs Subject to Reachability Constraints

Yagiz Savas, Christos K. Verginis, Michael Hibbard +1

We study the synthesis of a policy in a Markov decision process (MDP) following which an agent reaches a target state in the MDP while minimizing its total discounted cost. The pro…

eess.SP2021

Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations

Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod +2

We study the problem of securely communicating a sequence of information bits with a client in the presence of multiple adversaries at unknown locations in the environment. We assu…