Zachary Sunberg's research focuses on decision making under uncertainty to enable safe and efficient autonomous vehicle operation. Specifically, his primary current focus is on problems where uncertainty is the most difficult aspect of the problem, primarily focusing on the partially observable Markov decision process (POMDP) formalism. His most significant contributions are in the area of online POMDP planning.
keywords
markov decision processes, partially observable markov decision processes, MDP, POMDP, human robot interaction, self-driving cars, urban air mobility, advanced air mobility, unmanned aerial vehicles, incomplete information games
Bayesian Optimized Monte Carlo Planning.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence.
11880-11887.
2021
ASEN 3128 - Aircraft Dynamics
Primary Instructor
-
Fall 2022
Develops the fundamental concepts of aircraft dynamics. Covers flight mechanics, performance, dynamics and control of aircraft and how they impact aircraft design.
ASEN 4018 - Senior Projects 1: Design Synthesis
Primary Instructor
-
Fall 2020
Focuses on the synthesis of technical knowledge, project management, design process, leadership, and communications within a team environment. Students progress through the design process beginning with requirements development, then preliminary design and culminating with critical design. Offered fall only.
ASEN 4028 - Senior Projects 2: Design Practicum
Primary Instructor
-
Spring 2021
Focuses on the fabrication, integration, verification and validation of designs produced in ASEN 4018. Students work within the same teams from ASEN 4018. Offered spring only.
ASEN 5264 - Decision Making under Uncertainty
Primary Instructor
-
Spring 2023
Covers algorithms for optimal sequential decision making in the presence of uncertainty. Mathematical formalisms include the Markov decision process (MDP), partially observable Markov decision process (POMDP), and Games. Solution techniques include exact dynamic programming, Monte Carlo tree search, deep reinforcement learning, and alpha vector value approximation for POMDPs. Assignments require programming in a high level language (Julia as of 2023). Previously offered as a special topics course. Recommended prerequisite: fluency in a high-level programming language, willingness to learn another language if required for homework assignments and basic understanding of probability.
ASEN 5519 - Selected Topics
Primary Instructor
-
Spring 2021 / Spring 2022
Reflects upon specialized aspects of aerospace engineering sciences. Course content is indicated in the online Class Search. May be repeated up to 9 total credit hours. Recommended prerequisite: varies.
ASEN 6519 - Special Topics
Primary Instructor
-
Spring 2020 / Fall 2021 / Fall 2023
Reflects upon specialized aspects of aerospace engineering sciences. Course content is indicated in the online Schedule Planner. May be repeated up to 9 total credit hours. Recommended prerequisite: varies.
