Alexandre Laterre
Alexandre Laterre
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Cited by
Cited by
Ranked reward: Enabling self-play reinforcement learning for combinatorial optimization
A Laterre, Y Fu, MK Jabri, AS Cohen, D Kas, K Hajjar, TS Dahl, A Kerkeni, ...
arXiv preprint arXiv:1807.01672, 2018
Learning compositional neural programs with recursive tree search and planning
T Pierrot, G Ligner, SE Reed, O Sigaud, N Perrin, A Laterre, D Kas, ...
Advances in Neural Information Processing Systems 32, 2019
Early computational detection of potential high-risk SARS-CoV-2 variants
K Beguir, MJ Skwark, Y Fu, T Pierrot, NL Carranza, A Laterre, I Kadri, ...
Computers in biology and medicine 155, 106618, 2023
Reinforcement learning for branch-and-bound optimisation using retrospective trajectories
CWF Parsonson, A Laterre, TD Barrett
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4061-4069, 2023
Mava: A research framework for distributed multi-agent reinforcement learning
A Pretorius, K Tessera, AP Smit, C Formanek, SJ Grimbly, K Eloff, ...
arXiv e-prints, arXiv: 2107.01460, 2021
Jumanji: a diverse suite of scalable reinforcement learning environments in jax
C Bonnet, D Luo, D Byrne, S Surana, V Coyette, P Duckworth, LI Midgley, ...
arXiv preprint arXiv:2306.09884, 2023
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
A Pretorius, S Cameron, E Van Biljon, T Makkink, S Mawjee, J du Plessis, ...
Advances in neural information processing systems 33, 9983-9994, 2020
Offline reinforcement learning hands-on
L Monier, J Kmec, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir
arXiv preprint arXiv:2011.14379, 2020
Learning to solve combinatorial graph partitioning problems via efficient exploration
TD Barrett, CWF Parsonson, A Laterre
arXiv preprint arXiv:2205.14105, 2022
Designing a prospective COVID-19 therapeutic with reinforcement learning
MJ Skwark, NL Carranza, T Pierrot, J Phillips, S Said, A Laterre, A Kerkeni, ...
arXiv preprint arXiv:2012.01736, 2020
Combinatorial optimization with policy adaptation using latent space search
F Chalumeau, S Surana, C Bonnet, N Grinsztajn, A Pretorius, A Laterre, ...
Advances in Neural Information Processing Systems 36, 2024
Learning compositional neural programs for continuous control
T Pierrot, N Perrin, F Behbahani, A Laterre, O Sigaud, K Beguir, ...
arXiv preprint arXiv:2007.13363, 2020
One step at a time: Pros and cons of multi-step meta-gradient reinforcement learning
C Bonnet, P Caron, T Barrett, I Davies, A Laterre
arXiv preprint arXiv:2111.00206, 2021
Factored action spaces in deep reinforcement learning
T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ...
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
C Bonnet, L Midgley, A Laterre
arXiv preprint arXiv:2211.10550, 2022
Learning to communicate through imagination with model-based deep multi-agent reinforcement learning
A Pretorius, S Cameron, AP Smit, E van Biljon, L Francis, F Azeez, ...
SegmentNT: annotating the genome at single-nucleotide resolution with DNA foundation models
BP de Almeida, H Dalla-Torre, G Richard, C Blum, L Hexemer, M Gélard, ...
bioRxiv, 2024.03. 14.584712, 2024
SMX: Sequential Monte Carlo Planning for Expert Iteration
MV Macfarlane, E Toledo, D Byrne, S Singh, P Duckworth, A Laterre
arXiv preprint arXiv:2402.07963, 2024
A Foundational Large Language Model for Edible Plant Genomes
J Mendoza-Revilla, E Trop, L Gonzalez, M Roller, H Dalla-Torre, ...
bioRxiv, 2023.10. 24.563624, 2023
Learning to Solve Combinatorial Problems via Efficient Exploration
TD Barrett, CWF Parsonson, A Laterre
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