Zachary Sunberg
Orcid: 0000-0001-9707-3035Affiliations:
- University of Colorado Boulder, CO, USA
- Stanford University, CA, USA (former)
According to our database1,
Zachary Sunberg
authored at least 50 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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Bibliography
2024
IEEE Robotics Autom. Lett., February, 2024
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems.
J. Aerosp. Inf. Syst., 2024
CoRR, 2024
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives.
CoRR, 2024
Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods.
CoRR, 2024
CoRR, 2024
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
2023
J. Artif. Intell. Res., 2023
J. Aerosp. Inf. Syst., 2023
CoRR, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Assured Autonomy, 2023
Poster Abstract: Sampling-based Approach to Robust STL Synthesis for Complex Systems under Uncertainty.
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation.
CoRR, 2022
Navigation between states in ecological communities by taking shortcuts, with application to control.
CoRR, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
J. Intell. Robotic Syst., 2021
Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IET Cyper-Phys. Syst.: Theory & Appl., 2020
Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components.
CoRR, 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
J. Mach. Learn. Res., 2017
POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces.
CoRR, 2017
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
The value of inferring the internal state of traffic participants for autonomous freeway driving.
Proceedings of the 2017 American Control Conference, 2017
2016
IEEE Trans. Cybern., 2016
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report).
CoRR, 2016
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2014
Proceedings of the American Control Conference, 2014
2013
2012
Proceedings of the American Control Conference, 2012