Bettini, Matteo

8 publications

ICLR 2026 Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Menard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom

ICLR 2026 When Is Diversity Rewarded in Cooperative Multi-Agent Learning? Michael Amir, Matteo Bettini, Amanda Prorok

JMLR 2025 System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning Matteo Bettini, Ajay Shankar, Amanda Prorok

MLOSS 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

ICMLW 2024 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning Matteo Bettini, Amanda Prorok, Vincent Moens

ICML 2024 Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning Matteo Bettini, Ryan Kortvelesy, Amanda Prorok

ICLR 2024 TorchRL: A Data-Driven Decision-Making Library for PyTorch Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

ICLR 2023 POPGym: Benchmarking Partially Observable Reinforcement Learning Steven Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok