251 search results - page 41 / 51 » Skill Combination for Reinforcement Learning |
141
Voted
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
162
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AIED
2005
Springer
15 years 10 months ago
2005
Springer
Modern computer games show potential not just for engaging and entertaining users, but also in promoting learning. Game designers employ a range of techniques to promote long-term ...
140
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ICRA
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
147
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
138
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AI
2002
Springer
15 years 5 months ago
2002
Springer
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...