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Alexandre Laterre
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2020 – today
- 2024
- [c5]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 2024 - [i14]Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre:
SMX: Sequential Monte Carlo Planning for Expert Iteration. CoRR abs/2402.07963 (2024) - 2023
- [j1]Karim Beguir, Marcin J. Skwark
, Yunguan Fu
Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 155: 106618 (2023) - [c4]Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett:
Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. AAAI 2023: 4061-4069 - [c3]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. NeurIPS 2023 - [i13]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR abs/2306.09884 (2023) - [i12]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR abs/2311.13569 (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 I. 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
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
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. CoRR abs/1807.01672 (2018)
Coauthor Index
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