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» Relational Reinforcement Learning
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132
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EC
2006
121views ECommerce» more  EC 2006»
15 years 3 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
128
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ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
15 years 10 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
CEC
2007
IEEE
15 years 10 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...
152
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AICS
2009
15 years 1 months ago
Assessing Context for Age-Related Spanish Temporal Phrases
This paper reports research on Spanish temporal expressions. The analyzed phrases include a common temporal expression for a period of years reinforced by an adverb of time. We fou...
Sofía N. Galicia-Haro, Alexander F. Gelbukh
128
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GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 7 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...