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René Traoré
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Conference and Workshop Papers
- 2023
- [c2]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
We Won't Get Fooled Again: When Performance Metric Malfunction Affects the Landscape of Hyperparameter Optimization Problems. OLA 2023: 148-160 - 2021
- [c1]René Traoré, Andrés Camero, Xiaoxiang Zhu:
Compact Neural Architecture Search for Local Climate Zones Classification. ESANN 2021
Informal and Other Publications
- 2022
- [i9]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Landscape of Neural Architecture Search across sensors: how much do they differ ? CoRR abs/2201.06321 (2022) - [i8]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
HPO: We won't get fooled again. CoRR abs/2208.03320 (2022) - 2021
- [i7]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. CoRR abs/2108.09126 (2021) - [i6]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems. CoRR abs/2111.01584 (2021) - [i5]Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
A Data-driven Approach to Neural Architecture Search Initialization. CoRR abs/2111.03524 (2021) - 2019
- [i4]Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat:
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR abs/1901.08651 (2019) - [i3]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat:
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR abs/1906.04452 (2019) - [i2]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat:
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR abs/1907.05855 (2019) - 2018
- [i1]Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat:
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR abs/1809.09369 (2018)
Coauthor Index
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