Asma Atamna

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Venues

University of Paris-Saclay, France (PHD)

Education History

University of Paris-Saclay, France

PHD

Publications

Abhijeet Pendyala, Asma Atamna, Tobias Glasmachers
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering. CoRR (2024)
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. CoRR (2023)
Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation. LOD (1) (2023)
Paul Dufossé, Asma Atamna
Benchmarking several strategies to update the penalty parameters in AL-CMA-ES on the bbob-constrained testbed. GECCO Companion (2022)
Riad Akrour, Asma Atamna, Jan Peters
Convex optimization with an interpolation-based projection and its application to deep learning. Mach. Learn. 110 (8) (2021)
Asma Atamna, Anne Auger, Nikolaus Hansen
On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling. Theor. Comput. Sci. 832 (2020)
Asma Atamna, Chloé Clavel
HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection. INTERSPEECH (2020)
Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks. IDA (2020)
Riad Akrour, Asma Atamna, Jan Peters
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning. CoRR (2020)
Asma Atamna, Anne Auger, Nikolaus Hansen
Linearly Convergent Evolution Strategies via Augmented Lagrangian Constraint Handling. FOGA (2017)
Asma Atamna, Anne Auger, Nikolaus Hansen
Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling. GECCO (2016)
Asma Atamna, Anne Auger, Nikolaus Hansen
Augmented Lagrangian Constraint Handling for CMA-ES - Case of a Single Linear Constraint. PPSN (2016)
Asma Atamna
Benchmarking IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless Testbed. GECCO (Companion) (2015)
Nikolaus Hansen, Asma Atamna, Anne Auger
How to Assess Step-Size Adaptation Mechanisms in Randomised Search. PPSN (2014)

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Publication Activity (10 Years)

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Asma Atamna