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Omar G. Younis

4 accepted papers

2026

Contact-Aware Morphology Optimization via Physically Consistent Differentiable Simulation

RA-L 2026

Optimizing robot morphology and behavior remains an open challenge, primarily because hardware parameters affect system and contact dynamics, and naive parametrization can yield physically inconsistent designs and unreliable gradients. We propose a simulation-based co-design approach for gradient-ba

Cited by 0SourceScholar
2025

Gymnasium: A Standard Interface for Reinforcement Learning Environments

NeurIPS 2025spotlight

Reinforcement Learning (RL) is a continuously growing field that has the potential to revolutionize many areas of artificial intelligence. However, despite its promise, RL research is often hindered by the lack of standardization in environment and algorithm implementations. This makes it difficult…

Cited by 0SourcecodeScholar
2024

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence

NeurIPS 2024poster

Multi-agent AI research promises a path to develop human-like and human-compatible intelligent technologies that complement the solipsistic view of other approaches, which mostly do not consider interactions between agents. Aiming to make progress in this direction, the Melting Pot contest 2023 focu…

Cited by 0SourcePDFScholar
2024

Using Unity to Help Solve Reinforcement Learning

NeurIPS 2024poster

Leveraging the depth and flexibility of XLand as well as the rapid prototyping features of the Unity engine, we present the United Unity Universe — an open-source toolkit designed to accelerate the creation of innovative reinforcement learning environments. This toolkit includes a robust implementat…

Cited by 0SourcePDFScholar