508 search results - page 28 / 102 » Learning for stochastic dynamic programming |
121
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NIPS
2007
15 years 3 months ago
2007
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
135
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
140
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CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract-- We investigate the usefulness of a subtree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an ...
142
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TROB
2010
15 years 26 days ago
2010
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
134
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DATE
2008
IEEE
15 years 9 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...