Matteo Bettini

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Partially Observable

Replicator Dynamics

Reinforcement Learning

Multi Robot Cooperative

Top Venues

Publications

Matteo Bettini, Ryan Kortvelesy, Amanda Prorok
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. CoRR (2024)
Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. CoRR (2024)
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
TorchRL: A data-driven decision-making library for PyTorch. ICLR (2024)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. CoRR (2023)
Matteo Bettini, Amanda Prorok, Vincent Moens
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
Heterogeneous Multi-Robot Reinforcement Learning. AAMAS (2023)
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
TorchRL: A data-driven decision-making library for PyTorch. CoRR (2023)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR (2023)
Matteo Bettini, Ajay Shankar, Amanda Prorok
Heterogeneous Multi-Robot Reinforcement Learning. CoRR (2023)
Matteo Bettini, Amanda Prorok
On the properties of path additions for traffic routing. CoRR (2022)
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. DARS (2022)
Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. CoRR (2022)