Oussama Hidaoui contributed to the instadeepai/Mava repository by updating the FF-IPPO Store Experience example to maintain compatibility with recent changes in the codebase. He refactored the learner component to accurately handle episode metrics and ensured robust device state initialization and replication across multiple devices, addressing potential issues in distributed training environments. Using Python, JAX, and Flax, Oussama also corrected the creation of dummy transitions to match the expected observation shapes, improving the reliability of the reinforcement learning workflow. His work focused on system adaptation and bug resolution, demonstrating a methodical approach to maintaining and enhancing complex RL systems.