| 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 | 111 | 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 | 45 | 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 | 31 | 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 | 20 | 2023 |
| Jumanji: a diverse suite of scalable reinforcement learning environments in jax C Bonnet, D Luo, D Byrne, S Surana, S Abramowitz, P Duckworth, ... arXiv preprint arXiv:2306.09884, 2023 | 20* | 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 | 19* | 2021 |
| 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 | 14 | 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, 7947-7959, 2023 | 12 | 2023 |
| 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 | 12 | 2020 |
| Learning to solve combinatorial graph partitioning problems via efficient exploration TD Barrett, CWF Parsonson, A Laterre arXiv preprint arXiv:2205.14105, 2022 | 11 | 2022 |
| A foundational large language model for edible plant genomes J Mendoza-Revilla, E Trop, L Gonzalez, M Roller, H Dalla-Torre, ... Communications Biology 7 (1), 835, 2024 | 10 | 2024 |
| Jumanji: a diverse suite of scalable reinforcement learning environments in jax, 2023 C Bonnet, D Luo, D Byrne, S Surana, V Coyette, P Duckworth, LI Midgley, ... URL https://arxiv. org/abs/2306.09884, 0 | 7 | |
| 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 | 6 | 2024 |
| Flashbax: Streamlining experience replay buffers for reinforcement learning with jax, 2023 E Toledo, L Midgley, D Byrne, CR Tilbury, M Macfarlane, C Courtot, ... URL https://github. com/instadeepai/flashbax 7, 0 | 6 | |
| 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 | 4 | 2021 |
| Factored action spaces in deep reinforcement learning T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ... | 4 | 2021 |
| 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 | 4 | 2020 |
| 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 | 4 | 2020 |
| 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, ... | 3 | 2020 |
| Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function C Bonnet, L Midgley, A Laterre arXiv preprint arXiv:2211.10550, 2022 | 1 | 2022 |
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