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ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
13 years 12 months ago
Adaptive Play Q-Learning with Initial Heuristic Approximation
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
Andriy Burkov, Brahim Chaib-draa
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
13 years 12 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone
ROBOCUP
2007
Springer
102views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
Luiz A. Celiberto, Carlos H. C. Ribeiro, Anna Hele...
ROBOCUP
2001
Springer
157views Robotics» more  ROBOCUP 2001»
13 years 10 months ago
Using the Electric Field Approach in the RoboCup Domain
In autonomous robotics, so-called artificial potential fields are often used to plan and control the motion of a physical robot. In this paper, we propose to use an artificial e...
Stefan J. Johansson, Alessandro Saffiotti
ICML
2000
IEEE
14 years 6 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh