Michael H. Lim | DeepAI

AI Chat

Featured Co-authors

Mykel J. Kochenderfer
144 publications
Aleksandra Faust
44 publications
Claire J. Tomlin
43 publications
Andy Zeng
40 publications
Stefan Schaal
36 publications
Claire Tomlin
31 publications
Brian Ichter
24 publications
Erwin Coumans
14 publications
Zachary N. Sunberg
12 publications
Maryam Bandari
6 publications
Sampada Deglurkar
4 publications

∙ 10/10/2022

Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation

Partially observable Markov decision processes (POMDPs) provide a flexib...

0 Michael H. Lim, et al. ∙

∙ 12/17/2021

Visual Learning-based Planning for Continuous High-Dimensional POMDPs

The Partially Observable Markov Decision Process (POMDP) is a powerful f...

0 Sampada Deglurkar, et al. ∙

∙ 09/15/2021

Multi-Task Learning with Sequence-Conditioned Transporter Networks

Enabling robots to solve multiple manipulation tasks has a wide range of...

43 Michael H. Lim, et al. ∙

∙ 12/18/2020

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

Markov decision processes (MDPs) and partially observable MDPs (POMDPs) ...

0 Michael H. Lim, et al. ∙

∙ 10/10/2019

Sparse tree search optimality guarantees in POMDPs with continuous observation spaces

Partially observable Markov decision processes (POMDPs) with continuous ...

0 Michael H. Lim, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world