1234 search results - page 97 / 247 » Multi-criteria Reinforcement Learning |
141
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ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
133
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
152
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
153
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ALT
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
137
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IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...