Matteo Bettini

According to our database, Matteo Bettini authored at least 7 papers between 2022 and 2023.

Collaborative distances:

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

2023

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.

Matteo Bettini, Amanda Prorok, Vincent Moens

CoRR, 2023

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

CoRR, 2023

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning.

Matteo Bettini, Ajay Shankar, Amanda Prorok

CoRR, 2023

POPGym: Benchmarking Partially Observable Reinforcement Learning.

Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Heterogeneous Multi-Robot Reinforcement Learning.

Matteo Bettini, Ajay Shankar, Amanda Prorok

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

2022

On the properties of path additions for traffic routing.

Matteo Bettini, Amanda Prorok

CoRR, 2022

VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning.

Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok

Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022