Evolving Reservoirs for Meta Reinforcement Learning

1 code implementation • 9 Dec 2023 • Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut, Clément Moulin-Frier

At the developmental scale, we employ these evolved reservoirs to facilitate the learning of a behavioral policy through Reinforcement Learning (RL).

Meta Reinforcement Learning reinforcement-learning +1

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)

no code implementations • 17 Jul 2023 • Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gael Jobard, Frederic Alexandre, Xavier Hinaut

In this survey, we will first discuss popular representations of language, vision and speech stimuli, and present a summary of neuroscience datasets.

A journey in ESN and LSTM visualisations on a language task

1 code implementation • 3 Dec 2020 • Alexandre Variengien, Xavier Hinaut

In this work, we trained ESNs and LSTMs on a Cross-Situationnal Learning (CSL) task.

Dimensionality Reduction Sentence

Transfer between long-term and short-term memory using Conceptors

no code implementations • 11 Mar 2020 • Anthony Strock, Nicolas Rougier, Xavier Hinaut

We introduce a recurrent neural network model of working memory combining short-term and long-term components.

A Simple Reservoir Model of Working Memory with Real Values

1 code implementation • 18 Jun 2018 • Anthony Strock, Nicolas Rougier, Xavier Hinaut

The prefrontal cortex is known to be involved in many high-level cognitive functions, in particular, working memory.