Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

no code implementations • 6 Jun 2024 • Abdullah Akgül, Manuel Haußmann, Melih Kandemir

Current approaches to model-based offline Reinforcement Learning (RL) often incorporate uncertainty-based reward penalization to address the distributional shift problem.

reinforcement-learning Reinforcement Learning (RL)

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos

1 code implementation • ICLR 2019 • Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Jakobi, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht

Neuronal assemblies, loosely defined as subsets of neurons with reoccurring spatio-temporally coordinated activation patterns, or "motifs", are thought to be building blocks of neural representations and information processing.