Sciweavers

373 search results - page 49 / 75
» Building Relational World Models for Reinforcement Learning
Sort
View
ICRA
2002
IEEE
114views Robotics» more  ICRA 2002»
14 years 20 days ago
Learning Motion Patterns of Persons for Mobile Service Robots
We propose a method for learning models of people’s motion behaviors in an indoor environment. As people move through their environments, they do not move randomly. Instead, the...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
ICRA
1993
IEEE
131views Robotics» more  ICRA 1993»
13 years 12 months ago
Exploration Strategies for Mobile Robots
The problem of programming a robot t o carry out a systematic exploration of its environment using realistic sensors is considered in this paper. The robot is modelled as a single...
Camillo J. Taylor, David J. Kriegman
SAC
2010
ACM
14 years 2 months ago
Referrer graph: a low-cost web prediction algorithm
This paper presents the Referrer Graph (RG) web prediction algorithm as a low-cost solution to predict next web user accesses. RG is aimed at being used in a real web system with ...
B. de la Ossa, Ana Pont, Julio Sahuquillo, Jos&eac...
ICRA
1999
IEEE
138views Robotics» more  ICRA 1999»
14 years 15 hour ago
Efficient Topological Exploration
We consider the robot exploration of a planar graphlike world. The robot's goal is to build a complete map of its environment. The environment is modeled as an arbitrary undi...
Ioannis M. Rekleitis, Vida Dujmovic, Gregory Dudek
ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls