Alexandre Laterre

According to our database, Alexandre Laterre authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SMX: Sequential Monte Carlo Planning for Expert Iteration.

Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre

CoRR, 2024

2023

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, Asaf Poran, Alexander Muik, Ugur Sahin

Comput. Biol. Medicine, March, 2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.

Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett

CoRR, 2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

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

CoRR, 2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.

Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories.

Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function.

Clément Bonnet, Laurence I. Midgley, Alexandre Laterre

CoRR, 2022

Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration.

Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre

CoRR, 2022

2021

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

Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre

CoRR, 2021

Mava: a research framework for distributed multi-agent reinforcement learning.

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

CoRR, 2021

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

Offline Reinforcement Learning Hands-On.

Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir

CoRR, 2020

Learning Compositional Neural Programs for Continuous Control.

Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas

CoRR, 2020

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Compositional Neural Programs with Recursive Tree Search and Planning.

Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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