28 citations · 31 across the 9 of their papers we have counts for
13 papers
Deceptive Planning for Resource Allocation
Shenghui Chen, Yagiz Savas, Mustafa O. Karabag +2
We consider a team of autonomous agents that navigate in an adversarial environment and aim to achieve a task by allocating their resources over a set of target locations. An adver…
No-Regret Learning in Dynamic Stackelberg Games
Niklas Lauffer, Mahsa Ghasemi, Abolfazl Hashemi +2
In a Stackelberg game, a leader commits to a randomized strategy, and a follower chooses their best strategy in response. We consider an extension of a standard Stackelberg game, c…
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…
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…
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…
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…
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…
On the Complexity of Sequential Incentive Design
Yagiz Savas, Vijay Gupta, Ufuk Topcu
In many scenarios, a principal dynamically interacts with an agent and offers a sequence of incentives to align the agent's behavior with a desired objective. This paper focuses on…
Collaborative Beamforming Under Localization Errors: A Discrete Optimization Approach
Erfaun Noorani, Yagiz Savas, Alec Koppel +3
We consider a network of agents that locate themselves in an environment through sensor measurements and aim to transmit a message signal to a base station via collaborative beamfo…
Entropy-Regularized Stochastic Games
Yagiz Savas, Mohamadreza Ahmadi, Takashi Tanaka +1
In two-player zero-sum stochastic games, where two competing players make decisions under uncertainty, a pair of optimal strategies is traditionally described by Nash equilibrium a…
Incentive Design for Temporal Logic Objectives
Yagiz Savas, Vijay Gupta, Melkior Ornik +2
We study the problem of designing an optimal sequence of incentives that a principal should offer to an agent so that the agent's optimal behavior under the incentives realizes the…
Unpredictable Planning Under Partial Observability
Michael Hibbard, Yagiz Savas, 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…
Entropy Maximization for Markov Decision Processes Under Temporal Logic Constraints
Yagiz Savas, Melkior Ornik, Murat Cubuktepe +2
We study the problem of synthesizing a policy that maximizes the entropy of a Markov decision process (MDP) subject to a temporal logic constraint. Such a policy minimizes the pred…