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2020 – today
- 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
- [i11]Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre:
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration. CoRR abs/2205.14105 (2022) - [i10]Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett:
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories. CoRR abs/2205.14345 (2022) - [i9]Clément Bonnet, Laurence Midgley, Alexandre Laterre:
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function. CoRR abs/2211.10550 (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) - [i7]Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre:
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. CoRR abs/2111.00206 (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 - [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 2023-03-30 01:30 CEST by the dblp team
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