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ICTAI
1996
IEEE
15 years 10 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington
ICRA
1994
IEEE
97views Robotics» more  ICRA 1994»
15 years 10 months ago
Integrating Sensing, Task Planning, and Execution
Abstract-This paper deals with enhancing the level of autonomy in a robotic work cell. With that mission in mind, we present here an integrated framework for the sensing, the plann...
C. P. Tung, Avinash C. Kak
ECML
2006
Springer
15 years 10 months ago
Bandit Based Monte-Carlo Planning
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
Levente Kocsis, Csaba Szepesvári
AAAI
2007
15 years 9 months ago
Action-Space Partitioning for Planning
For autonomous artificial decision-makers to solve realistic tasks, they need to deal with searching through large state and action spaces under time pressure. We study the probl...
Natalia Hernandez-Gardiol, Leslie Pack Kaelbling
AIPS
2008
15 years 9 months ago
Additive-Disjunctive Heuristics for Optimal Planning
The development of informative, admissible heuristics for cost-optimal planning remains a significant challenge in domain-independent planning research. Two techniques are commonl...
Andrew Coles, Maria Fox, Derek Long, Amanda Smith