3 citations · 7 across the 14 of their papers we have counts for
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Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust Approach
Luke Snow, Vikram Krishnamurthy
Multi-agent inverse reinforcement learning (IRL) aims to identify Pareto-efficient behavior in a multi-agent system, and reconstruct utility functions of the individual agents. Mot…
Multi-Agent Inverse Learning for Sensor Networks: Identifying Coordination in UAV Networks
Luke Snow, Vikram Krishnamurthy
Suppose there is an adversarial UAV network being tracked by a radar. How can the radar determine whether the UAVs are coordinating, in some well-defined sense? How can the radar i…
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…
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…