PLANNING UNDER UNCERTAINTY: FROM INFORMATIVE PATH PLANNING TO PARTIALLY OBSERVABLE SEMI-MDPS
Ph.D
Saved in:
Main Author: | LIM ZHAN WEI |
---|---|
Other Authors: | COMPUTER SCIENCE |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/121119 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Sample-efficient iterative lower bound optimization of deep reactive policies for planning in continuous MDPs
by: LOW, Siow Meng, et al.
Published: (2022) -
Sampling based approaches for minimizing regret in uncertain Markov Decision Problems (MDPs)
by: AHMED, Asrar, et al.
Published: (2017) -
Motion planning under uncertainty for robotic tasks with long time horizons
by: Kurniawati, H., et al.
Published: (2013) -
History-Based Controller Design and Optimization for Partially Observable MDPs
by: KUMAR, Akshat, et al.
Published: (2015) -
Planning under uncertainty for robotic tasks with mixed observability
by: Ong, S.C.W., et al.
Published: (2013)