582 search results - page 37 / 117 » Gaussian Processes in Reinforcement Learning |
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
AAMAS
2005
Springer
15 years 3 months ago
2005
Springer
This research aims at studying the effects of exchanging information during the learning process in Multiagent Systems. The concept of advice-exchange, introduced in (Nunes and Ol...
103
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SCIA
2005
Springer
15 years 3 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
101
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FLAIRS
2004
14 years 11 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
AIIDE
2006
14 years 11 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...