Matteo Bettini

5 papers · 2023–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 📈 Trend Setter

Venues

ICLR (2) JMLR (2) ICML (1)

Top co-authors

Amanda Prorok (4) Vincent Moens (2) Ryan Kortvelesy (2) Gianni De Fabritiis (1) Albert Bou (1) Ajay Shankar (1) Steven Morad (1) Stephan Liwicki (1) Xiaomeng Yang (1) Vikash Kumar (1)

Research topics

Reinforcement Learning (5) Methods (5) Artificial Intelligence (4) Core AI (4) Machine Learning (2) Learning Types · Machine Learning (2) Deep Learning (1) Learning Types · Deep Learning (1)

Keywords

behavioral diversity (2) multi-agent reinforcement learning (2) benchmark suite (1) decision making (1) policy learning (1) computational efficiency (1) partially observable markov decision process (1) distributed training (1) memory model (1) policy heterogeneity (1) control task (1) algorithm comparison (1) multi-robot system (1) partially observable reinforcement learning (1) actor critic (1) system neural diversity (1) behavioral heterogeneity (1) open-source library (1) diversity control (1) multi-robot task (1)

Papers

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning JMLR 2025 BenchMARL: Benchmarking Multi-Agent Reinforcement Learning JMLR 2024 Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning ICML 2024 TorchRL: A data-driven decision-making library for PyTorch ICLR 2024 POPGym: Benchmarking Partially Observable Reinforcement Learning ICLR 2023