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 001; Joachim M. Buhmann; Luca Corinzia (Bioinform., 2023)

Using Unity to Help Solve Reinforcement Learning. - Connor Brennan; Andrew Williams; Omar G. Younis; Vedant Vyas; Daria Yasafova; Irina Rish (NeurIPS, 2024)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit 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; et al. (NeurIPS, 2024)

Breeding Programs Optimization with Reinforcement Learning. - Omar G. Younis; Luca Corinzia; Ioannis N. Athanasiadis; Andreas Krause 001; Joachim M. Buhmann; Matteo Turchetta (CoRR, 2024)

Gymnasium: A Standard Interface for Reinforcement Learning Environments. - Mark Towers; Ariel Kwiatkowski; Jordan K. Terry; John U. Balis; Gianluca De Cola; Tristan Deleu; Manuel Goulão; Andreas Kallinteris; Markus Krimmel; Arjun KG; Rodrigo Perez-Vicente; Andrea Pierré; et al. (CoRR, 2024)

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search. - Cyrus Neary; Omar G. Younis; Artur Kuramshin; Ozgur Aslan; Glen Berseth (CoRR, 2025)