604 search results - page 95 / 121 » An Intelligent Agent That Autonomously Learns How to Transla... |
170
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AAAI
2010
15 years 7 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
165
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AAAI
1996
15 years 7 months ago
1996
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
184
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AAAI
2008
15 years 8 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
198
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AI
2006
Springer
15 years 10 months ago
2006
Springer
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
213
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AAAI
2011
14 years 6 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...