Matteo Gallici

According to our database, Matteo Gallici authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Generative artificial intelligence and marine ecological monitoring.

Luciano Ortenzi, Jacopo Aguzzi, Damianos Chatzievangelou, Eugenio Nerio Nemmi, Michele Ferrari, Ivan Masmitja, Morane Clavel-Henry, Nixon Bahamon, Nathan J. Robinson, Giacomo Picardi, Paula Espina, Simona Violino, Riccardo De Angelis, Simone Figorilli, Lavinia Moscovini, Matteo Gallici, Francesca Antonucci, Alessandro Mei, Corrado Costa

Environ. Model. Softw., 2026

2025

Ad-Hoc Human-AI Coordination Challenge.

Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Darius Muglich, Johannes Forkel, Jakob Nicolaus Foerster

CoRR, June, 2025

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization.

Matteo Gallici, Haitz Sáez de Ocáriz Borde

CoRR, May, 2025

Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles.

Matteo Gallici, Ivan Masmitja, Mario Martin

CoRR, May, 2025

Ad-Hoc Human-AI Coordination Challenge.

Tin Dizdarevic, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Simplifying Deep Temporal Difference Learning.

Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Nicolaus Foerster, Mario Martin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

JaxMARL: Multi-Agent RL Environments in JAX.

Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster

CoRR, 2023

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems.

Matteo Gallici, Mario Martin, Ivan Masmitja

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023