179 search results - page 19 / 36 » Learning Relational Navigation Policies |
AAAI
2011
12 years 7 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
GECCO
2010
Springer
14 years 11 days ago
2010
Springer
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
COLCOM
2009
IEEE
14 years 8 days ago
2009
IEEE
This paper motivates the fundamental importance of application context for security. It then gives an overview of the PEI framework for application-centric security and outlines s...
JIFS
2007
13 years 7 months ago
2007
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...