Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. - Alexandre Laterre; Yunguan Fu; Mohamed Khalil Jabri; Alain-Sam Cohen; David Kas; Karl Hajjar; Torbjorn S. Dahl; Amine Kerkeni; Karim Beguir (CoRR, 2018)

Learning Compositional Neural Programs with Recursive Tree Search and Planning. - Thomas Pierrot; Guillaume Ligner; Scott E. Reed; Olivier Sigaud; Nicolas Perrin 001; Alexandre Laterre; David Kas; Karim Beguir; Nando de Freitas (NeurIPS, 2019)

A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. - Arnu Pretorius; Scott Alexander Cameron; Elan Van Biljon; Tom Makkink; Shahil Mawjee; Jeremy du Plessis; Jonathan P. Shock; Alexandre Laterre; Karim Beguir (NeurIPS, 2020)

QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. - Geoffrey Cideron; Thomas Pierrot; Nicolas Perrin 001; Karim Beguir; Olivier Sigaud (CoRR, 2020)

Learning Compositional Neural Programs for Continuous Control. - Thomas Pierrot; Nicolas Perrin 001; Feryal M. P. Behbahani; Alexandre Laterre; Olivier Sigaud; Karim Beguir; Nando de Freitas (CoRR, 2020)

Offline Reinforcement Learning Hands-On. - Louis Monier; Jakub Kmec; Alexandre Laterre; Thomas Pierrot; Valentin Courgeau; Olivier Sigaud; Karim Beguir (CoRR, 2020)

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. - Marcin J. Skwark; Nicolás López Carranza; Thomas Pierrot; Joe Phillips; Slim Said; Alexandre Laterre; Amine Kerkeni; Ugur Sahin; Karim Beguir (CoRR, 2020)

Mava: a research framework for distributed multi-agent reinforcement learning. - Arnu Pretorius; Kale-ab Abebe Tessera; Andries P. Smit; Claude Formanek; St John Grimbly; Kevin Eloff; Siphelele Danisa; Lawrence Francis; Jonathan P. Shock; Herman Kamper; Willie Brink; Herman A. Engelbrecht; et al. (CoRR, 2021)

Diversity policy gradient for sample efficient quality-diversity optimization. - Thomas Pierrot; Valentin Macé; Félix Chalumeau; Arthur Flajolet; Geoffrey Cideron; Karim Beguir; Antoine Cully; Olivier Sigaud; Nicolas Perrin-Gilbert (GECCO, 2022)

Multi-objective quality diversity optimization. - Thomas Pierrot; Guillaume Richard; Karim Beguir; Antoine Cully (GECCO, 2022)

Fast Population-Based Reinforcement Learning on a Single Machine. - Arthur Flajolet; Claire Bizon Monroc; Karim Beguir; Thomas Pierrot (ICML, 2022)

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. - Félix Chalumeau; Thomas Pierrot; Valentin Macé; Arthur Flajolet; Karim Beguir; Antoine Cully; Nicolas Perrin-Gilbert (CoRR, 2022)

Early computational detection of potential high-risk SARS-CoV-2 variants. - Karim Beguir; Marcin J. Skwark; Yunguan Fu; Thomas Pierrot; Nicolás López Carranza; Alexandre Laterre; Ibtissem Kadri; Abir Korched; Anna U. Lowegard; Bonny Gaby Lui; Bianca Sänger; Yunpeng Liu; et al. (Comput. Biol. Medicine, 2023)

Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL. - Arturo Fiorellini-Bernardis; Sebastien Boyer; Christoph Brunken; Bakary N'tji Diallo; Karim Beguir; Nicolás López Carranza; Oliver Bent (CoRR, 2024)

InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments. - Kevin Eloff; Konstantinos Kalogeropoulos; Amandla Mabona; Oliver Morell; Rachel Catzel; Esperanza Rivera-de-Torre; Jakob Berg Jespersen; Wesley Williams; Sam P. B. van Beljouw; Marcin J. Skwark; Andreas Hougaard Laustsen; Stan J. J. Brouns; et al. (Nat. Mac. Intell., 2025)