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CIG
2006
IEEE
16 years 22 days ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
16 years 7 days ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
SAC
2005
ACM
16 years 6 days ago
Learning system to introduce GIS to civil engineers
: A learning system to facilitate the integration of Geographical Information Systems (GIS) into the Civil Engineering curriculum is described in this paper. The principal learning...
Ronaldo Luna, William T. Lawrence, John M. Sulliva...
ATAL
2005
Springer
16 years 6 days ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
182
Voted
ECAL
2005
Springer
16 years 6 days ago
A Dynamical Systems Approach to Learning: A Frequency-Adaptive Hopper Robot
We present an example of the dynamical systems approach to learning and adaptation. Our goal is to explore how both control and learning can be embedded into a single dynamical sys...
Jonas Buchli, Ludovic Righetti, Auke Jan Ijspeert