Search Results for author: Sebastian Döhler

Found 2 papers, 1 papers with code

POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

no code implementations • 23 May 2022 • Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer

The goal of Unsupervised Reinforcement Learning (URL) is to find a reward-agnostic prior policy on a task domain, such that the sample-efficiency on supervised downstream tasks is improved.

Open-Ended Question Answering reinforcement-learning +2

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Contextualize Me -- The Case for Context in Reinforcement Learning

1 code implementation • 9 Feb 2022 • Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer

While Reinforcement Learning ( RL) has made great strides towards solving increasingly complicated problems, many algorithms are still brittle to even slight environmental changes.

reinforcement-learning Reinforcement Learning (RL) +1

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