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» Problems of learning in multi-agent systems
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IWCLS
2007
Springer
15 years 10 months ago
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
Albert Orriols-Puig, Ester Bernadó-Mansilla
114
Voted
MICAI
2004
Springer
15 years 9 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
137
Voted
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 9 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
FLAIRS
2004
15 years 5 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
135
Voted
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 10 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...