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EWRL
2008

Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem

8 years 11 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level and analysed experimentally on the mountain car benchmark task with and without noise.
Verena Heidrich-Meisner, Christian Igel
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where EWRL
Authors Verena Heidrich-Meisner, Christian Igel
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