297 search results - page 35 / 60 » Hierarchical Monte-Carlo Planning |
ICML
1997
IEEE
14 years 8 months ago
1997
IEEE
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
ICRA
2003
IEEE
14 years 26 days ago
2003
IEEE
— We introduce a hierarchical variant of the probabilistic roadmap method for motion planning. By recursively refining an initially sparse sampling in neighborhoods of the C-obs...
AAAI
2004
13 years 9 months ago
2004
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
ICRA
2000
IEEE
13 years 12 months ago
2000
IEEE
This paper presents the application of an action module planning method to an experimental climbing robot named LIBRA. The method searches for a sequence of physically realizable ...