Hierarchical Reinforcement Learning with Timed Subgoals

1 code implementation • NeurIPS 2021 • Nico Gürtler, Dieter Büchler, Georg Martius

Hierarchical reinforcement learning (HRL) holds great potential for sample-efficient learning on challenging long-horizon tasks.

Hierarchical Reinforcement Learning reinforcement-learning +1

Direct Advantage Estimation

1 code implementation • 13 Sep 2021 • Hsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf

The predominant approach in reinforcement learning is to assign credit to actions based on the expected return.

Accelerated physical emulation of Bayesian inference in spiking neural networks

no code implementations • 6 Jul 2018 • Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici

The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices.

Bayesian Inference