5860 search results - page 388 / 1172 » Learning and Domain Adaptation |
155
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
193
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AAAI
1994
15 years 8 months ago
1994
We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
182
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
190
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
151
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...