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