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cs.LG2021★ 1 cited
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics
Matthias Weissenbacher, Samarth Sinha, Animesh Garg +1
Offline reinforcement learning leverages large datasets to train policies without interactions with the environment. The learned policies may then be deployed in real-world setting…
cs.LG2021
A Quadratic Actor Network for Model-Free Reinforcement Learning
Matthias Weissenbacher, Yoshinobu Kawahara
In this work we discuss the incorporation of quadratic neurons into policy networks in the context of model-free actor-critic reinforcement learning. Quadratic neurons admit an exp…
cs.LG2020
Temporally Folded Convolutional Neural Networks for Sequence Forecasting
Matthias Weissenbacher
In this work we propose a novel approach to utilize convolutional neural networks for time series forecasting. The time direction of the sequential data with spatial dimensions $D=…