1325 search results - page 7 / 265 » Algorithm Selection using Reinforcement Learning |
TSMC
2008
14 years 11 months ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
87
Voted
IEAAIE
2001
Springer
15 years 4 months ago
2001
Springer
In this paper a combined use of reinforcement learning and simulated annealing is treated. Most of the simulated annealing methods suggest using heuristic temperature bounds as the...
107
Voted
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
94
Voted
CONSTRAINTS
2008
14 years 11 months ago
2008
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
93
Voted
ICMLA
2009
14 years 9 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...