1 citations · 1 across the 5 of their papers we have counts for
11 papers
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…
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…