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 | 28* | 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 | 21 | 2023 |
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 | 14 | 2022 |
On the Chromatic Number of R 4 G Exoo, D Ismailescu, M Lim 🌱 Discrete & Computational Geometry 52 (2), 416-423, 2014 | 14 | 2014 |
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 | 10* | 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 |