Sciweavers

54 search results - page 7 / 11
» Planning with POMDPs Using a Compact, Logic-Based Representa...
Sort
View
JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
IROS
2007
IEEE
198views Robotics» more  IROS 2007»
14 years 1 months ago
Topological mapping, localization and navigation using image collections
Abstract— In this paper we present a highly scalable visionbased localization and mapping method using image collections. A topological world representation is created online dur...
Friedrich Fraundorfer, Christopher Engels, David N...
ECAI
2010
Springer
13 years 8 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
UAI
1998
13 years 8 months ago
Structured Reachability Analysis for Markov Decision Processes
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
Craig Boutilier, Ronen I. Brafman, Christopher W. ...
AAAI
2010
13 years 9 months ago
Multi-Agent Plan Recognition: Formalization and Algorithms
Multi-Agent Plan Recognition (MAPR) seeks to identify the dynamic team structures and team behaviors from the observations of the activity-sequences of a set of intelligent agents...
Bikramjit Banerjee, Landon Kraemer, Jeremy Lyle