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IROS
2007
IEEE
150views Robotics» more  IROS 2007»
15 years 4 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
JAIR
2006
105views more  JAIR 2006»
14 years 9 months ago
Active Learning with Multiple Views
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
Ion Muslea, Steven Minton, Craig A. Knoblock
IJCAI
2003
14 years 11 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
AAMAS
2005
Springer
14 years 9 months ago
Coordinating Multiple Agents via Reinforcement Learning
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
ICRA
2005
IEEE
162views Robotics» more  ICRA 2005»
15 years 3 months ago
Learning to Track Multiple People in Omnidirectional Video
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
Fernando De la Torre, Carlos Vallespí, Paul...