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» Fast Reinforcement Learning for Vision-guided Mobile Robots
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ECAL
2001
Springer
13 years 10 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
13 years 11 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
ICRA
2003
IEEE
120views Robotics» more  ICRA 2003»
13 years 11 months ago
Design and implementation of a behavior-based control and learning architecture for mobile robots
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
Il Hong Suh, Sanghoon Lee, Bong Oh Kim, Byung-Ju Y...
AROBOTS
2002
91views more  AROBOTS 2002»
13 years 5 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
SEAL
1998
Springer
13 years 10 months ago
Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation
Most of the obstacle avoidance techniques do not consider the robot orientation or its nal angle at the target position. These techniques deal with the robot position only and are ...
Yong-Jae Kim, Dong-Han Kim, Jong-Hwan Kim