Alexandre Laterre

21 papers A* 6C 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Bootstrap Your Own Teacher: Online Policy Distillation for Multi-Game Reinforcement Learning. CoG Donal Byrne, Marko Tot, Paul Duckworth, Clément Bonnet, Alexandre Laterre, Thomas D. Barrett
2024	A*	`conf`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 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
2024	J	`jnl`	SMX: Sequential Monte Carlo Planning for Expert Iteration. CoRR Matthew V. Macfarlane, Edan Toledo, Donal Byrne, Siddarth Singh, Paul Duckworth, Alexandre Laterre
2024	A*	`conf`	SPO: Sequential Monte Carlo Policy Optimisation. NeurIPS Matthew Macfarlane, Edan Toledo, Donal Byrne, Paul Duckworth, Alexandre Laterre
2023	A*	`conf`	Combinatorial Optimization with Policy Adaptation using Latent Space Search. NeurIPS Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett
2023	J	`jnl`	Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett
2023	J	`jnl`	Early computational detection of potential high-risk SARS-CoV-2 variants. Comput. Biol. Medicine 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
2023	J	`jnl`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR 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
2023	A*	`conf`	Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories. AAAI Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
2022	J	`jnl`	Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function. CoRR Clément Bonnet, Laurence I. Midgley, Alexandre Laterre
2022	J	`jnl`	Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration. CoRR Thomas D. Barrett, Christopher W. F. Parsonson, Alexandre Laterre
2022	J	`jnl`	Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories. CoRR Christopher W. F. Parsonson, Alexandre Laterre, Thomas D. Barrett
2021	J	`jnl`	One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. CoRR Clément Bonnet, Paul Caron, Thomas D. Barrett, Ian Davies, Alexandre Laterre
2020	A*	`conf`	A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. NeurIPS Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
2020	J	`jnl`	A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning. CoRR Arnu Pretorius, Scott Alexander Cameron, Elan Van Biljon, Tom Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
2020	J	`jnl`	Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. CoRR Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir
2020	J	`jnl`	Learning Compositional Neural Programs for Continuous Control. CoRR Thomas Pierrot, Nicolas Perrin, Feryal M. P. Behbahani, Alexandre Laterre, Olivier Sigaud, Karim Beguir, Nando de Freitas
2020	J	`jnl`	Offline Reinforcement Learning Hands-On. CoRR Louis Monier, Jakub Kmec, Alexandre Laterre, Thomas Pierrot, Valentin Courgeau, Olivier Sigaud, Karim Beguir
2019	A*	`conf`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. NeurIPS Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2019	J	`jnl`	Learning Compositional Neural Programs with Recursive Tree Search and Planning. CoRR Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas
2018	J	`jnl`	Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. CoRR Alexandre Laterre, Yunguan Fu, Mohamed Khalil Jabri, Alain-Sam Cohen, David Kas, Karl Hajjar, Torbjorn S. Dahl, Amine Kerkeni, Karim Beguir