One of our common European goals is the protection of the health and biodiversity of the marine ecosystem, as the extremely important underwater environment is today in danger. However, the protection and conservation of European marine waters needs completely new, ground-breaking approaches to achieve real improvements. The EU-funded AIforUTracking project will conduct cutting-edge research which focuses on the tracking of marine animals by autonomous vehicles using techniques of Reinforcement Learning (RL). New algorithms for more autonomy for machines will be designed thanks to novelty strategies and collaborations, allowing applications like the Partially Observable Markov Decision Process (POMDP) or Multi-Agent Reinforcement Learning (MARL) to revolutionize the possibilities of marine animal studying. Those methods will be tested and upgraded for better results.