James Zachary Hare

Orcid: 0000-0002-3920-7442

According to our database1, James Zachary Hare authored at least 29 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning.
CoRR, February, 2025

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test.
IEEE Trans. Signal Process., 2025

Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Keeping the Best: The K-Best rule for Efficient Quickest Change Detection with Unknown Post-Change Distribution.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning.
CoRR, 2024

Adversarial Attacks on Reinforcement Learning Agents for Command and Control.
CoRR, 2024

Quickest Change Detection in the Presence of Covert Adversaries.
Proceedings of the IEEE Military Communications Conference, 2024

Asymptotic Analysis of Uncertain Naïve Bayes via Second-Order Probabilities.
Proceedings of the 27th International Conference on Information Fusion, 2024

On Network Quickest Change Detection with Uncertain Models: An Experimental Study.
Proceedings of the 27th International Conference on Information Fusion, 2024

On the Inconsistency of Estimation with Uncertain Models.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2023
Enhancing Multi-Agent Coordination through Common Operating Picture Integration.
CoRR, 2023

Improved Small Sample Hypothesis Testing Using the Uncertain Likelihood Ratio.
Proceedings of the IEEE International Conference on Acoustics, 2023

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II.
CoRR, 2022

Uncertainty-Aware Quickest Change Detection: An Experimental Study.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
A General Framework for Distributed Inference With Uncertain Models.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics.
Proceedings of the Virtual, Augmented and Mixed Reality, 2021

Toward Uncertainty Aware Quickest Change Detection.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Toward Active Sequential Hypothesis Testing with Uncertain Models.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Non-Bayesian Social Learning With Uncertain Models.
IEEE Trans. Signal Process., 2020

POSE.R: Prediction-based Opportunistic Sensing for Resilient and Efficient Sensor Networks.
ACM Trans. Sens. Networks, 2020

Communication Constrained Learning with Uncertain Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Non-Bayesian Social Learning with Gaussian Uncertain Models.
Proceedings of the 2020 American Control Conference, 2020

2019
POSE.3C: Prediction-Based Opportunistic Sensing Using Distributed Classification, Clustering, and Control in Heterogeneous Sensor Networks.
IEEE Trans. Control. Netw. Syst., 2019

On Malicious Agents in Non-Bayesian Social Learning with Uncertain Models.
Proceedings of the 22th International Conference on Information Fusion, 2019

Non-Bayesian Social Learning with Uncertain Models over Time-Varying Directed Graphs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors.
IEEE Trans. Cybern., 2018

2015
Human activity recognition using LZW-Coded Probabilistic Finite State Automata.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Decentralized smart sensor scheduling for multiple target tracking for border surveillance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


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