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2020 – today
- 2024
[i12]Arturo Fiorellini-Bernardis, Sebastien Boyer, Christoph Brunken, Bakary Diallo, Karim Beguir, Nicolás López Carranza, Oliver Bent:
Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL. CoRR abs/2405.02374 (2024)- 2023
- [j1]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, Asaf Poran, Alexander Muik, Ugur Sahin:
Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 155: 106618 (2023) - 2022
- [c5]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-objective quality diversity optimization. GECCO 2022: 139-147 - [c4]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [c3]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. ICML 2022: 6533-6547 - [i11]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. CoRR abs/2202.03057 (2022) - [i10]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. CoRR abs/2206.08888 (2022) - [i9]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022) - 2021
- [i8]Arnu Pretorius, Kale-ab 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, Alexandre Laterre, Karim Beguir:
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR abs/2107.01460 (2021) - 2020
- [c2]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. NeurIPS 2020 - [i7]Geoffrey Cideron, Thomas Pierrot, Nicolas Perrin, Karim Beguir, Olivier Sigaud:
QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning. CoRR abs/2006.08505 (2020) - [i6]Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs for Continuous Control. CoRR abs/2007.13363 (2020) - [i5]Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan P. Shock, Alexandre Laterre, Karim Beguir:
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR abs/2010.07777 (2020) - [i4]Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir:
Offline Reinforcement Learning Hands-On. CoRR abs/2011.14379 (2020) - [i3]Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir:
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR abs/2012.01736 (2020)
2010 – 2019
- 2019
- [c1]Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS 2019: 14646-14656 - [i2]Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas:
Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR abs/1905.12941 (2019) - 2018
- [i1]Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir:
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. CoRR abs/1807.01672 (2018)
Coauthor Index
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last updated on 2024-06-25 20:51 CEST by the dblp team
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