251 search results - page 20 / 51 » Skill Combination for Reinforcement Learning |
IROS
2007
IEEE
15 years 6 months ago
2007
IEEE
: This paper presents a coarse coding technique and an action selection scheme for reinforcement learning (RL) in multi-dimensional and continuous state-action spaces following con...
127
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NN
2007
Springer
14 years 11 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
112
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AAAI
2011
13 years 11 months ago
2011
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
DAGM
2006
Springer
15 years 3 months ago
2006
Springer
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
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 ...