Search Results - "Hare, James Z"

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning by Kase, Sue E, Hung, Chou P, Krayzman, Tomer, Hare, James Z, Rinderspacher, B Christopher, Su, Simon M

“…In an increasingly complex military operating environment, next generation wargaming platforms can reduce risk, decrease operating costs, and improve overall…”
Get full text

Non-Bayesian Social Learning With Uncertain Models by Hare, James Z., Uribe, Cesar A., Kaplan, Lance, Jadbabaie, Ali

“…Non-Bayesian social learning theory provides a framework that models distributed inference for a group of agents interacting over a network. Agents iteratively…”
Get full text

POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors by Hare, James Z., Gupta, Shalabh, Wettergren, Thomas A.

“…This paper presents a distributed supervisory control algorithm that enables opportunistic sensing for energy-efficient target tracking in a sensor network…”
Get full text

Adversarial attacks on reinforcement learning agents for command and control by Dabholkar, Ahaan, Hare, James Z, Mittrick, Mark, Richardson, John, Waytowich, Nicholas, Narayanan, Priya, Bagchi, Saurabh

“…Given the recent impact of deep reinforcement learning in training agents to win complex games such as StarCraft and DoTA (Defense Of The Ancients)—there has…”
Get full text

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments by Kulinski, Sean, Waytowich, Nicholas R., Hare, James Z., Inouye, David I.

“…Spatial reasoning tasks in multi-agent environments such as event prediction, agent type identification, or missing data imputation are important for multiple…”
Get full text

A General Framework for Distributed Inference With Uncertain Models by Hare, James Z., Uribe, Cesar A., Kaplan, Lance, Jadbabaie, Ali

“…This paper studies the problem of distributed classification with a network of heterogeneous agents. The agents seek to jointly identify the underlying target…”
Get full text

Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs by Uribe, Cesar A., Hare, James Z., Kaplan, Lance, Jadbabaie, Ali

“…We study the problem of non-Bayesian social learning with uncertain models, in which a network of agents seek to cooperatively identify the state of the world…”
Get full text

Non-Bayesian Social Learning with Gaussian Uncertain Models by Hare, James Z., Uribe, Cesar A., Kaplan, Lance, Jadbabaie, Ali

“…Non-Bayesian social learning theory provides a framework for distributed inference of a group of agents interacting over a social network by sequentially…”
Get full text

Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities by Kaplan, Lance M., Hare, James Z.

“…Likelihood fusion is a special case of Bayesian networks known as naïve Bayes. It is well known that as the number of observations goes to infinity with known…”
Get full text

Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning by Sur, Indranil, Raghavan, Aswin, Rahman, Abrar, Hare, James Z, Cassenti, Daniel, Busart, Carl

“…The integration of unmanned platforms equipped with advanced sensors promises to enhance situational awareness and mitigate the "fog of war" in military…”
Get full text

Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing by Subramaniam, Adarsh M, Gerogiannis, Argyrios, Hare, James Z, Veeravalli, Venugopal V

“…State of the art methods for target tracking with sensor management (or controlled sensing) are model-based and are obtained through solutions to Partially…”
Get full text

On Network Quickest Change Detection with Uncertain Models: An Experimental Study by Hare, James Z., Liang, Yuchen, Kaplan, Lance M., Veeravalli, Venugopal V.

“…We study the problem of Quickest Change Detection (QCD) in a complex networked system consisting of a set of heterogeneous agents that sequentially feed…”
Get full text

Adversarial Attacks on Reinforcement Learning Agents for Command and Control by Dabholkar, Ahaan, Hare, James Z, Mittrick, Mark, Richardson, John, Waytowich, Nicholas, Narayanan, Priya, Bagchi, Saurabh

“…Given the recent impact of Deep Reinforcement Learning in training agents to win complex games like StarCraft and DoTA(Defense Of The Ancients) - there has…”
Get full text

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments by Kulinski, Sean, Waytowich, Nicholas R, Hare, James Z, Inouye, David I

“…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023 Spatial reasoning tasks in multi-agent environments such as event…”
Get full text

A General Framework for Distributed Inference with Uncertain Models by Hare, James Z, Uribe, Cesar A, Kaplan, Lance, Jadbabaie, Ali

“…This paper studies the problem of distributed classification with a network of heterogeneous agents. The agents seek to jointly identify the underlying target…”
Get full text

POSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks by Hare, James Z, Song, Junnan, Gupta, Shalabh, Wettergren, Thomas A

“…ACM Transactions on Sensor Networks, Vol. 17, Issue 1, Article 5, pp. 1-41, 2020 The paper presents a distributed algorithm, called Prediction-based…”
Get full text

Toward Active Sequential Hypothesis Testing with Uncertain Models by Hare, James Z., Uribe, Cesar A., Kaplan, Lance, Jadbabaie, Ali

“…This work introduces an active learning approach for hypothesis testing with uncertain likelihood models. Uncertain models appear when hypotheses' parameters…”
Get full text

Non-Bayesian Social Learning with Gaussian Uncertain Models by Hare, James Z, Uribe, Cesar, Kaplan, Lance, Jadbabaie, Ali

“…Non-Bayesian social learning theory provides a framework for distributed inference of a group of agents interacting over a social network by sequentially…”
Get full text

Non-Bayesian Social Learning with Uncertain Models by Hare, James Z, Uribe, Cesar A, Kaplan, Lance, Jadbabaie, Ali

“…Non-Bayesian social learning theory provides a framework that models distributed inference for a group of agents interacting over a social network. In this…”
Get full text

Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs by Uribe, César A, Hare, James Z, Kaplan, Lance, Jadbabaie, Ali

“…We study the problem of non-Bayesian social learning with uncertain models, in which a network of agents seek to cooperatively identify the state of the world…”
Get full text