Tyler J. Becker

According to our database, Tyler J. Becker authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs.

Ofer Dagan, Tyler J. Becker, Zachary N. Sunberg

CoRR, 2024

Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods.

Tyler J. Becker, Zachary Sunberg

CoRR, 2024

Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems.

Zakariya Laouar, Qi Heng Ho, Rayan Mazouz, Tyler J. Becker, Zachary N. Sunberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint).

Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary Sunberg

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Optimality Guarantees for Particle Belief Approximation of POMDPs.

Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg

J. Artif. Intell. Res., 2023

Recursively-Constrained Partially Observable Markov Decision Processes.

Qi Heng Ho, Tyler J. Becker, Benjamin Kraske, Zakariya Laouar, Martin S. Feather, Federico Rossi, Morteza Lahijanian, Zachary N. Sunberg

CoRR, 2023

2022

Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation.

Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg

CoRR, 2022