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ORCIDTyler J. Becker
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2020 – today
- 2024
[c2]Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary Sunberg:
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint). IJCAI 2024: 8481- [c1]Zakariya Laouar, Qi Heng Ho, Rayan Mazouz, Tyler J. Becker, Zachary N. Sunberg:
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems. IROS 2024: 12718-12725 - [i5]Tyler J. Becker, Zachary Sunberg:
Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods. CoRR abs/2405.18703 (2024) - [i4]Ofer Dagan, Tyler J. Becker, Zachary N. Sunberg:
Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs. CoRR abs/2411.14404 (2024) - 2023
- [j1]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: 1591-1636 (2023) - [i3]Qi Heng Ho, Tyler J. Becker, Benjamin Kraske, Zakariya Laouar, Martin S. Feather, Federico Rossi, Morteza Lahijanian, Zachary N. Sunberg:
Recursively-Constrained Partially Observable Markov Decision Processes. CoRR abs/2310.09688 (2023) - [i2]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 abs/2310.14116 (2023) - 2022
- [i1]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 abs/2210.05015 (2022)
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