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Karim Beguir
Karim Beguir
InstaDeep
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Title
Cited by
Cited by
Year
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
682018
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
332019
Qd-rl: Efficient mixing of quality and diversity in reinforcement learning
G Cideron, T Pierrot, N Perrin, K Beguir, O Sigaud
arXiv preprint arXiv:2006.08505, 2020
182020
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
T Pierrot, V MacÚ, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ...
ICLR Workshop on Agent Learning in Open-Endedness, 2022
92022
Mava: a research framework for distributed multi-agent reinforcement learning
A Pretorius, K Tessera, AP Smit, C Formanek, SJ Grimbly, K Eloff, ...
arXiv preprint arXiv:2107.01460, 2021
62021
Early computational detection of potential high risk SARS-CoV-2 variants
K Beguir, MJ Skwark, Y Fu, T Pierrot, SNL Carranza, A Laterre, I Kadri, ...
bioRxiv, 2021
62021
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
62020
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
32020
Multi-Objective Quality Diversity Optimization
T Pierrot, G Richard, K Beguir, A Cully
arXiv preprint arXiv:2202.03057, 2022
22022
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
22020
Fast population-based reinforcement learning on a single machine
A Flajolet, CB Monroc, K Beguir, T Pierrot
International Conference on Machine Learning, 6533-6547, 2022
12022
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
12020
Ranked reward: enabling self-play reinforcement learning for bin packing
A Laterre, Y Fu, MK Jabri, AS Cohen, D Kas, K Hajjar, H Chen, TS Dahl, ...
12019
So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs
TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Admete, ...
bioRxiv, 2022
2022
Sample efficient Quality Diversity for neural continuous control
T PIERROT, V MacÚ, G Cideron, N Perrin, K Beguir, O Sigaud
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, ...
2020
Factored Action Spaces in Deep Reinforcement Learning
T PIERROT, V MacÚ, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ...
2020
OFFLINE REINFORCEMENT LEARNING HANDS-ON
J Kmec, L Monier, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir
S9865 GTC 2019 Solving Logistics Problems with Deep RL
K Beguir, A Laterre
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