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Matthias Weissenbacher

2 accepted papers

2024

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

ICML 2024poster

An open challenge in reinforcement learning (RL) is the effective deployment of a trained policy to new or slightly different situations as well as semantically-similar environments. We introduce **S**ymmetry-**I**nvariant **T**ransformer (**SiT**), a scalable vision transformer (ViT) that leverages…

2022

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics

ICML 2022spotlight

Offline reinforcement learning leverages large datasets to train policies without interactions with the environment. The learned policies may then be deployed in real-world settings where interactions are costly or dangerous. Current algorithms over-fit to the training dataset and as a consequence p…

Cited by 36SourcePDFScholar