3274 search results - page 214 / 655 » Using Learning in a Control Agent |
GECCO
2006
Springer
13 years 12 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...
ICRA
2006
IEEE
14 years 2 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...
ICALT
2006
IEEE
14 years 2 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...
ATAL
2009
Springer
13 years 6 months 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...
GECCO
2007
Springer
14 years 2 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...