-
Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Enhanced AutoNav (ENav), the baseline surface navigation software for NA...
11/11/2020 ∙ by Neil Abcouwer, et al. ∙
10
∙
share
read it
-
Risk-Averse Planning Under Uncertainty
We consider the problem of designing policies for partially observable M...
09/27/2019 ∙ by Mohamadreza Ahmadi, et al. ∙
11
∙
share
read it
-
Co-training for Policy Learning
We study the problem of learning sequential decision-making policies in ...
07/03/2019 ∙ by Jialin Song, et al. ∙
5
∙
share
read it
-
Fast Approximate Clearance Evaluation for Kinematically Constrained Articulated Suspension Systems
In this paper, we present a light-weight collision detection algorithm f...
07/31/2018 ∙ by Kyohei Otsu, et al. ∙
0
∙
share
read it
-
Learning to Search via Self-Imitation
We study the problem of learning a good search policy. To do so, we prop...
04/03/2018 ∙ by Jialin Song, et al. ∙
0
∙
share
read it
-
Mixed Strategy for Constrained Stochastic Optimal Control
Choosing control inputs randomly can result in a reduced expected cost i...
07/06/2016 ∙ by Masahiro Ono, et al. ∙
0
∙
share
read it
-
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk
This paper presents a model-based planner called the Probabilistic Sulu ...
02/04/2014 ∙ by Masahiro Ono, et al. ∙
0
∙
share
read it
