Michael H. Lim

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Claire TomlinUC BerkeleyVerified email at berkeley.edu
Zachary SunbergUniversity of Colorado BoulderVerified email at colorado.edu
Aleksandra FaustGoogle DeepMind, Mountain View, CAVerified email at google.com
Sampada DeglurkarEECS PhD Student, UC BerkeleyVerified email at berkeley.edu
Benjamin Wong BlonderAssistant professor, Macrosystems Ecology Laboratory, University of California at BerkeleyVerified email at berkeley.edu
Johnathan A TuckerDepartment of Aeronautics and AstronauticsVerified email at stanford.edu
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
Andy ZengResearch Scientist, GoogleVerified email at google.com
Brian IchterResearch Scientist, Google BrainVerified email at google.com
Maryam BandariIntrinsic IncVerified email at google.com
Erwin CoumansGoogleVerified email at google.com

Michael H. Lim

EECS PhD, UC Berkeley

Verified email at berkeley.edu

💻 Machine Learning 🧠 Artificial Intelligence 🤖 Robotics 📊 Statistical Learning 🌱 Ecology and Misc.


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Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs MH Lim, CJ Tomlin, ZN Sunberg 🧠 📊 IEEE Conference on Decision and Control (CDC) 2021, 2021	27*	2021
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces MH Lim, C Tomlin, ZN Sunberg 🧠 📊 International Joint Conference on Artificial Intelligence (IJCAI) 2020 …, 2020	26	2020
Multi-Agent Reachability Calibration with Conformal Prediction A Muthali, H Shen, S Deglurkar, MH Lim, R Roelofs, A Faust, C Tomlin 💻 📊 🤖 arXiv preprint arXiv:2304.00432, 2023	15	2023
On the Chromatic Number of R 4 G Exoo, D Ismailescu, M Lim 🌱 Discrete & Computational Geometry 52 (2), 416-423, 2014	15	2014
Multi-Task Learning with Sequence-Conditioned Transporter Networks MH Lim, A Zeng, B Ichter, M Bandari, E Coumans, C Tomlin, S Schaal, ... 💻 🧠 🤖 IEEE International Conference on Robotics and Automation (ICRA) 2022, 2022	12	2022
Optimality Guarantees for Particle Belief Approximation of POMDPs MH Lim, TJ Becker, MJ Kochenderfer, CJ Tomlin, ZN Sunberg 🧠 📊 Journal of Artificial Intelligence Research 77, 1591-1636, 2023	8*	2023
Compositional Learning-based Planning for Vision POMDPs S Deglurkar, MH Lim, J Tucker, ZN Sunberg, A Faust, C Tomlin 💻 🧠 🤖 Learning for Dynamics and Control Conference, 469-482, 2023	5*	2023
Navigation between initial and desired community states using shortcuts BW Blonder, MH Lim, Z Sunberg, C Tomlin 🌱 🧠 Ecology Letters 2023, 2023	4*	2023
Creating analogs of thermal distributions from diabatic excitations in ion-trap-based quantum simulation MH Lim, BT Yoshimura, JK Freericks 🌱 New Journal of Physics 18 (4), 043026, 2016	3*	2016
Predicting and prioritizing coexistence: learning outcomes via experiments B Blonder, MH Lim, O Godoy 🌱 bioRxiv, 2024	1*	2024
Sequential Decision Making under Uncertainty: Optimality Guarantees, Compositional Learning, and Applications to Robotics and Ecology M Lim UC Berkeley, 2023		2023

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