1 code implementation • 9 Mar 2023 • Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer, Martin Vechev
Neural Ordinary Differential Equations (NODEs) are a novel neural architecture, built around initial value problems with learned dynamics which are solved during inference.
no code implementations • 24 Mar 2022 • Pascal Weber, Daniel Wälchli, Mustafa Zeqiri, Petros Koumoutsakos
We present the extension of the Remember and Forget for Experience Replay (ReF-ER) algorithm to Multi-Agent Reinforcement Learning (MARL).
1 code implementation • 9 Mar 2022 • Michael Hersche, Mustafa Zeqiri, Luca Benini, Abu Sebastian, Abbas Rahimi
Compared to state-of-the-art deep neural network and neuro-symbolic approaches, end-to-end training of NVSA achieves a new record of 87. 7% average accuracy in RAVEN, and 88. 1% in I-RAVEN datasets.