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Matteo Bettini — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Matteo Bettini
14
papers ·
42
citations ·
3
h-index
University of Cambridge
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Heterogeneous Multi-Robot Reinforcement Learning
2023 · 7 citations
POPGym: Benchmarking Partially Observable Reinforcement Learning
2023 · 5 citations
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
2022 · 3 citations
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
2023 · 3 citations
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
2024 · 2 citations
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
2023 · 1 citations
Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
2026
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
2025
The impact of behavioral diversity in multi-agent reinforcement learning
2024
Top co-authors
Amar Budhiraja
· 1
Amine Benhalloum
· 1
Gr\'egoire Mialon
· 1
Pierre Andrews
· 1
Ricardo Silveira Cabral
· 1
Romain Froger
· 1
Ulyana Piterbarg
· 1
Vincent Moens
· 1
Vladislav Vorotilov
· 1
Topics
Multi-Agent
Exploration
Policy Gradient
Model-Based RL
Value-Based
cs.AI
Game AI