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Matteo Bettini
Matteo Bettini
PhD Candidate, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Heterogeneous Multi-Robot Reinforcement Learning
M Bettini, A Shankar, A Prorok
Autonomous Agents and Multiagent Systems (AAMAS), 1485–1494, 2023
292023
POPGym: Benchmarking Partially Observable Reinforcement Learning
S Morad, R Kortvelesy, M Bettini, S Liwicki, A Prorok
International Conference on Learning Representations (ICLR), 2023
252023
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
M Bettini, R Kortvelesy, J Blumenkamp, A Prorok
Distributed Autonomous Robotic Systems (DARS), 2022
192022
TorchRL: A Data-Driven Decision-Making Library for PyTorch
A Bou, M Bettini, S Dittert, V Kumar, S Sodhani, X Yang, G De Fabritiis, ...
International Conference on Learning Representations (ICLR), 2023
152023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
M Bettini, A Prorok, V Moens
Journal of Machine Learning Research (JMLR) 25, 1--10, 2024
52024
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
M Bettini, A Shankar, A Prorok
arXiv preprint arXiv:2305.02128, 2023
52023
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform
J Blumenkamp, A Shankar, M Bettini, J Bird, A Prorok
Distributed Autonomous Robotic Systems (DARS), 2024
12024
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
M Bettini, R Kortvelesy, A Prorok
International Conference on Machine Learning (ICML), 2024
2024
Evaluating Benefits of Heterogeneity in Constrained Multi-Agent Learning
A Shaw, M Bettini
University of Cambridge, 2023
2023
On the properties of path additions for traffic routing
M Bettini, A Prorok
arXiv preprint arXiv:2207.04505, 2022
2022
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Articles 1–10