3250 search results - page 197 / 650 » Parameterized Learning Complexity |
166
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
148
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ICCBR
2009
Springer
16 years 1 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
180
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EDUTAINMENT
2007
Springer
16 years 21 days ago
2007
Springer
Due to the high-dimensionality of motion captured data which resulted in the complexity in motion analysis, a method of motion data processing based on manifold learning was propos...
165
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ATAL
2005
Springer
16 years 2 days ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
217
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ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...