Omar G. Younis

According to our database, Omar G. Younis authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Contact-Aware Morphology Optimization via Physically Consistent Differentiable Simulation.

Filippo Luca Ferretti, Diego Ferigo, Alessandro Croci, Carlotta Sartore, Omar G. Younis, Silvio Traversaro, Daniele Pucci

IEEE Robotics Autom. Lett., May, 2026

Subliminal Transfer of Unsafe Behaviors in AI Agent Distillation.

Jacob Dang, Brian Y. Xie, Omar G. Younis

CoRR, April, 2026

CUBE: A Standard for Unifying Agent Benchmarks.

Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song

CoRR, March, 2026

2025

Emergent World Representations in OpenVLA.

Marco Molinari, Leonardo Nevali, Saharsha Navani, Omar G. Younis

CoRR, September, 2025

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search.

Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth

CoRR, August, 2025

Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Mark Towers, Ariel Kwiatkowski, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, Rodrigo Perez-Vicente, J. K. Terry, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan, Omar G. Younis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Breeding Programs Optimization with Reinforcement Learning.

Omar G. Younis, Luca Corinzia, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Matteo Turchetta

CoRR, 2024

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence.

Rakshit S. Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P. Agapiou, Jayd Matyas, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Using Unity to Help Solve Reinforcement Learning.

Connor Brennan, Andrew Williams, Omar G. Younis, Vedant Vyas, Daria Yasafova, Irina Rish

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

ChromaX: a fast and scalable breeding program simulator.

Omar G. Younis, Matteo Turchetta, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia

Bioinform., December, 2023