Michael H. Lim

According to our database1, Michael H. Lim authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Optimality Guarantees for Particle Belief Approximation of POMDPs.
J. Artif. Intell. Res., 2023

Compositional Learning-based Planning for Vision POMDPs.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Multi-Agent Reachability Calibration with Conformal Prediction.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation.
CoRR, 2022

Navigation between states in ecological communities by taking shortcuts, with application to control.
CoRR, 2022

Multi-Task Learning with Sequence-Conditioned Transporter Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Visual Learning-based Planning for Continuous High-Dimensional POMDPs.
CoRR, 2021

Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components.
CoRR, 2020

Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020


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