Oussama Hidaoui contributed to the instadeepai/Mava repository by implementing a compatibility update for the FF-IPPO Store Experience example, ensuring alignment with recent changes in the Mava framework. He refactored the learner component to accurately handle episode metrics and improved the robustness of device state initialization and replication across multiple devices. Additionally, he corrected the creation of dummy transitions to match the expected observation shapes, addressing a key bug in the process. His work leveraged Python, JAX, and Flax, demonstrating a solid understanding of reinforcement learning systems and system adaptation within a complex, multi-device distributed training environment.