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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
POPGym: Benchmarking Partially Observable Reinforcement Learning
S Morad, R Kortvelesy, M Bettini, S Liwicki, A Prorok
International Conference on Learning Representations, 2023
232023
Heterogeneous Multi-Robot Reinforcement Learning
M Bettini, A Shankar, A Prorok
Autonomous Agents and Multiagent Systems, 1485–1494, 2023
222023
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
M Bettini, R Kortvelesy, J Blumenkamp, A Prorok
Distributed Autonomous Robotic Systems, 2022
122022
TorchRL: A data-driven decision-making library for PyTorch
A Bou, M Bettini, S Dittert, V Kumar, S Sodhani, X Yang, G De Fabritiis, ...
ICLR 2024, 2023
82023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
M Bettini, A Prorok, V Moens
arXiv preprint arXiv:2312.01472, 2023
22023
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
M Bettini, A Shankar, A Prorok
arXiv preprint arXiv:2305.02128, 2023
22023
On the properties of path additions for traffic routing
M Bettini, A Prorok
arXiv preprint arXiv:2207.04505, 2022
2022
Evaluating Benefits of Heterogeneity in Constrained Multi-Agent Learning
A Shaw, M Bettini
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Articles 1–8