2 citations · 2 across the 7 of their papers we have counts for
8 papers · 1 filter
Sequential Decision Making in Stochastic Games with Incomplete Preferences over Temporal Objectives
Abhishek Ninad Kulkarni, Jie Fu, Ufuk Topcu
Ensuring that AI systems make strategic decisions aligned with the specified preferences in adversarial sequential interactions is a critical challenge for developing trustworthy A…
Privacy-preserving Nash Equilibrium Synthesis with Partially Ordered Temporal Objectives
Caleb Probine, Abhishek Kulkarni, Ufuk Topcu
Nash equilibrium is a central solution concept for reasoning about self-interested agents. We address the problem of synthesizing Nash equilibria in two-player deterministic games…
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception (Technical Report)
Abhishek N. Kulkarni, Jie Fu
Strategic deception is an act of manipulating the opponent's perception to gain strategic advantages. In this paper, we study synthesis of deceptive winning strategies in two-playe…
Decoy Allocation Games on Graphs with Temporal Logic Objectives
Abhishek N. Kulkarni, Jie Fu, Huan Luo +2
We study a class of games, in which the adversary (attacker) is to satisfy a complex mission specified in linear temporal logic, and the defender is to prevent the adversary from a…
Dynamic Hypergames for Synthesis of Deceptive Strategies with Temporal Logic Objectives
Lening Li, Haoxiang Ma, Abhishek N. Kulkarni +1
In this paper, we study the use of deception for strategic planning in adversarial environments. We model the interaction between the agent (player 1) and the adversary (player 2)…
Deceptive Labeling: Hypergames on Graphs for Stealthy Deception
Abhishek N. Kulkarni, Huan Luo, Nandi O. Leslie +2
With the increasing sophistication of attacks on cyber-physical systems, deception has emerged as an effective tool to improve system security and safety by obfuscating the attacke…