Matteo Bettini

20 papers A* 3A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments.
CoRR
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 Ménard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom
2025 J jnl
ARE: Scaling Up Agent Environments and Evaluations.
CoRR
Pierre Andrews, Amine Benhalloum, Gerard Moreno-Torres Bertran, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Romain Froger, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Grégoire Mialon, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Thomas Scialom, Vladislav Vorotilov, Mengjue Wang, Ian Yu
2025 J jnl
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning.
J. Mach. Learn. Res.
Matteo Bettini, Ajay Shankar, Amanda Prorok
2025 J jnl
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
CoRR
Michael Amir, Matteo Bettini, Amanda Prorok
2024 J jnl
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.
J. Mach. Learn. Res.
Matteo Bettini, Amanda Prorok, Vincent Moens
2024 A* conf
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning.
ICML
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024 J jnl
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning.
CoRR
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024 J jnl
Neural diversity is key to collective artificial learning.
CoRR
Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
2024 J jnl
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform.
CoRR
Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok
2024 A* conf
TorchRL: A data-driven decision-making library for PyTorch.
ICLR
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2023 J jnl
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.
CoRR
Matteo Bettini, Amanda Prorok, Vincent Moens
2023 A conf
Heterogeneous Multi-Robot Reinforcement Learning.
AAMAS
Matteo Bettini, Ajay Shankar, Amanda Prorok
2023 J jnl
Heterogeneous Multi-Robot Reinforcement Learning.
CoRR
Matteo Bettini, Ajay Shankar, Amanda Prorok
2023 A* conf
POPGym: Benchmarking Partially Observable Reinforcement Learning.
ICLR
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
2023 J jnl
POPGym: Benchmarking Partially Observable Reinforcement Learning.
CoRR
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
2023 J jnl
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning.
CoRR
Matteo Bettini, Ajay Shankar, Amanda Prorok
2023 J jnl
TorchRL: A data-driven decision-making library for PyTorch.
CoRR
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2022 J jnl
On the properties of path additions for traffic routing.
CoRR
Matteo Bettini, Amanda Prorok
2022 J jnl
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning.
CoRR
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
2022 — conf
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning.
DARS
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok