Zachary N. Sunberg

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Partially Observable Markov Decision Process

Continuous State

Sequential Decision Making Under Uncertainty

Bayesian Reinforcement Learning

Top Venues

Publications

Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Sampling-Based Reactive Synthesis for Nondeterministic Hybrid Systems. IEEE Robotics Autom. Lett. 9 (2) (2024)
Qi Heng Ho, Martin S. Feather, Federico Rossi, Zachary N. Sunberg, Morteza Lahijanian
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives. CoRR (2024)
Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir
Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning. CoRR (2024)
Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg
Explanation Through Reward Model Reconciliation using POMDP Tree Search. ICAA (2023)
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Sampling-based Reactive Synthesis for Nondeterministic Hybrid Systems. CoRR (2023)
Zakariya Laouar, Rayan Mazouz, Tyler J. Becker, Qi Heng Ho, Zachary N. Sunberg
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems. CoRR (2023)
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg
Optimality Guarantees for Particle Belief Approximation of POMDPs. J. Artif. Intell. Res. 77 (2023)
Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg
Explanation through Reward Model Reconciliation using POMDP Tree Search. CoRR (2023)
Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin
Compositional Learning-based Planning for Vision POMDPs. L4DC (2023)
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides. ICRA (2023)
Qi Heng Ho, Tyler J. Becker, Benjamin Kraske, Zakariya Laouar, Martin Feather, Federico Rossi, Morteza Lahijanian, Zachary N. Sunberg
Recursively-Constrained Partially Observable Markov Decision Processes. CoRR (2023)
Qi Heng Ho, Roland B. Ilyes, Zachary N. Sunberg, Morteza Lahijanian
Automaton-Guided Control Synthesis for Signal Temporal Logic Specifications. CoRR (2022)
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning. ICRA (2022)
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides. CoRR (2022)
Qi Heng Ho, Roland B. Ilyes, Zachary N. Sunberg, Morteza Lahijanian
Automaton-Guided Control Synthesis for Signal Temporal Logic Specifications. CDC (2022)
Qi Heng Ho, Zachary N. Sunberg, Morteza Lahijanian
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning. CoRR (2022)
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation. CoRR (2022)
Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs. CDC (2021)
Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin
Visual Learning-based Planning for Continuous High-Dimensional POMDPs. CoRR (2021)
Shakeeb Ahmad, Zachary N. Sunberg, J. Sean Humbert
End-to-End Probabilistic Depth Perception and 3D Obstacle Avoidance using POMDP. J. Intell. Robotic Syst. 103 (2) (2021)
Shakeeb Ahmad, Zachary N. Sunberg, J. Sean Humbert
APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance. ACC (2021)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. CoRR (2020)
Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces. IJCAI (2020)
Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components. CoRR (2020)
Lasse Peters, Zachary N. Sunberg
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia. CoRR (2020)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. AAMAS (2020)
Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer
Estimation and control using sampling-based Bayesian reinforcement learning. IET Cyper-Phys. Syst.: Theory & Appl. 5 (1) (2020)
Shakeeb Ahmad, Zachary N. Sunberg, J. Sean Humbert
APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance. CoRR (2020)
Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg
Sparse tree search optimality guarantees in POMDPs with continuous observation spaces. CoRR (2019)
Zachary N. Sunberg
Efficiency and Safety in Autonomous Vehicles Through Planning With Uncertainty. AAAI (2018)
Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer
Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning. CoRR (2018)
Zachary N. Sunberg, Mykel J. Kochenderfer
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces. ICAPS (2018)
Zachary N. Sunberg, Christopher J. Ho, Mykel J. Kochenderfer
The value of inferring the internal state of traffic participants for autonomous freeway driving. ACC (2017)
Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty. J. Mach. Learn. Res. 18 (2017)
Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. ICRA (2016)
Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report). CoRR (2016)