3274 search results - page 214 / 655 » Using Learning in a Control Agent |
123
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
131
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ICRA
2006
IEEE
15 years 8 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
130
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ICALT
2006
IEEE
15 years 8 months ago
2006
IEEE
To transplant the six characteristics of traditional collaborative learning into the network collaborative learning environment, this paper proposes the design of an Internet coll...
126
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ATAL
2009
Springer
15 years 1 days ago
2009
Springer
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
130
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...