On Double Descent in Reinforcement Learning with LSTD and Random Features

no code implementations • 9 Oct 2023 • David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse

We identify the ratio between the number of parameters and the number of visited states as a crucial factor and define over-parameterization as the regime when it is larger than one.

reinforcement-learning Reinforcement Learning (RL)

Fourier Features in Reinforcement Learning with Neural Networks

no code implementations • 29 Sep 2021 • David Brellmann, Goran Frehse, David Filliat

To the best of our knowledge, this is the first reported application of Fourier features in Deep RL.

reinforcement-learning Reinforcement Learning (RL)