Research Papers

Multi-Objective Quality Diversity Optimization

Thomas Pierrot | Guillaume Richard | Karim Beguir | Antoine Cully

GECCO Jul 2022

Fast Population-Based Reinforcement Learning on a Single Machine

Arthur Flajolet | Claire Bizon Monroc | Karim Beguir | Thomas Pierrot

ICML Jun 2022

Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization

T. Pierrot | V. Macé | F. Chalumeau | A. Flajolet | G. Cideron | K. Beguir | A. Cully | O. Sigaud | N. Perrin-Gilbert

ICLR, GECCO Apr 2022

Autoregressive neural-network wavefunctions for ab initio quantum chemistry

Dr Thomas Barrett | Prof A. I. Lvovsky | Aleksei Malyshev

Nature Machine Intelligence Apr 2022

Robust and Scalable SDE Learning: a Functional Perspective

Scott Cameron | Tyron Cameron | Arnu Pretorius | Stephen Roberts

ICLR Jan 2022

One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning

C. Bonnet | P. Caron | T. Barrett | I. Davies | A. Laterre

NeurIPS Workshop 2021 Dec 2021

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa

I.S. Yusuf | K. Tessera | T. Tumiel | Z. Slim | A. Kerkeni | S. Nevo | A. Pretorius

NeurIPS Workshop 2021 Dec 2021

Causal Multi-Agent Reinforcement Learning: Review and Open Problems

S.J. Grimbly | J. Shock | A. Pretorius

NeurIPS Workshop 2021 Dec 2021

Mava: A new Framework for Distributed Multi-Agent Reinforcement Learning

A. Pretorius | K. Tessera | A.P. Smit | C. Formanek | S.J. Grimbly | K. Eloff | S. Danisa | L. Francis | J. Shock | H. Kamper | W. Brink | H. Engelbrecht | A. Laterre | K. Beguir

Jul 2021

Scaling Properties of Deep Residual Networks

A-S. Cohen | R. Cont | A. Rossier | R. Xu

ICML May 2021

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning

M. J. Skwark | N. L. Carranza | T. Pierrot | J. Phillips | S. Said | A. Laterre | A. Kerkeni | U. Sahin | K. Beguir

NeurIPS Dec 2020

3D Deep Learning for Biological Function Prediction from Physical Fields

V. Golkov | M.J. Skwark | A. Mirchev | G. Dikov | A. R Geanes | J. Mendenhall | J. Meiler | D. Cremers

Oct 2020