6 citations · 26 across the 23 of their papers we have counts for
6 papers · 1 filter
How can a Radar Mask its Cognition?
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
A cognitive radar is a constrained utility maximizer that adapts its sensing mode in response to a changing environment. If an adversary can estimate the utility function of a cogn…
Lyapunov based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
In mathematical psychology, decision makers are modeled using the Lindbladian equations from quantum mechanics to capture important human-centric features such as order effects and…
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
Inverse reinforcement learning (IRL) deals with estimating an agent's utility function from its actions. In this paper, we consider how an agent can hide its strategy and mitigate…
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry
This paper considers meta-cognitive radars in an adversarial setting. A cognitive radar optimally adapts its waveform (response) in response to maneuvers (probes) of a possibly adv…
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach
Luke Snow, Shashwat Jain, Vikram Krishnamurthy
In mathematical psychology, decision makers are modeled using the Lindbladian equations from quantum mechanics to capture important human-centric features such as order effects and…
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain
Rui Luo, Vikram Krishnamurthy, Erik Blasch
The paper constructs a multi-variate Hawkes process model of Bitcoin block arrivals and price jumps. Hawkes processes are selfexciting point processes that can capture the self- an…