238 search results - page 44 / 48 » Value-Function Approximations for Partially Observable Marko... |
AIPS
2008
15 years 2 months ago
2008
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...
TR
2010
14 years 6 months ago
2010
Abstract--We examine optimal repair strategies for wind turbines operated under stochastic weather conditions. In-situ sensors installed at wind turbines produce useful information...
ATAL
2003
Springer
15 years 5 months ago
2003
Springer
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
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GECCO
2009
Springer
14 years 9 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
ECML
2007
Springer
15 years 6 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...