A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles. - Ivan Masmitja; Mario Martin; Kakani Katija; Spartacus Gomaríz; Joan Navarro (CASE, 2022)

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems. - Matteo Gallici; Mario Martin; Ivan Masmitja (AAMAS, 2023)

Dynamic robotic tracking of underwater targets using reinforcement learning. - Ivan Masmitja; Mario Martin; Tom O'Reilly; Brian Kieft; Narcís Palomeras; Joan Navarro; Kakani Katija (Sci. Robotics, 2023)

Simplifying Deep Temporal Difference Learning. - Matteo Gallici; Mattie Fellows; Benjamin Ellis; Bartomeu Pou; Ivan Masmitja; Jakob Nicolaus Foerster; Mario Martin (ICLR, 2025)

Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles. - Matteo Gallici; Ivan Masmitja; Mario Martin (CoRR, 2025)