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Michael H. Lim
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Journal Articles
- 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)
Conference and Workshop Papers
- 2024
- [c6]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 - 2023
- [c5]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CDC 2023: 6596-6603 - [c4]Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Compositional Learning-based Planning for Vision POMDPs. L4DC 2023: 469-482 - 2022
- [c3]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - 2021
- [c2]Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs. CDC 2021: 4493-4500 - 2020
- [c1]Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces. IJCAI 2020: 4135-4142
Informal and Other Publications
- 2023
- [i7]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CoRR abs/2304.00432 (2023) - 2022
- [i6]Benjamin W. Blonder, Michael H. Lim, Zachary Sunberg, Claire J. Tomlin:
Navigation between states in ecological communities by taking shortcuts, with application to control. CoRR abs/2204.07629 (2022) - [i5]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) - 2021
- [i4]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i3]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 abs/2112.09456 (2021) - 2020
- [i2]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 abs/2012.10140 (2020) - 2019
- [i1]Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg:
Sparse tree search optimality guarantees in POMDPs with continuous observation spaces. CoRR abs/1910.04332 (2019)
Coauthor Index
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