Vinicius Zambaldi

Identifiers

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Papers (8)

1. CompILE: Compositional Imitation Learning and Execution stat.ML · 2018 · author #4
2. Relational Forward Models for Multi-Agent Learning cs.LG · 2018 · author #4
3. Relational Deep Reinforcement Learning cs.LG · 2018 · author #1
4. Relational inductive biases, deep learning, and graph networks cs.LG · 2018 · author #5
5. A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning cs.AI · 2017 · author #2
6. A multi-agent reinforcement learning model of common-pool resource appropriation cs.MA · 2017 · author #3
7. Value-Decomposition Networks For Cooperative Multi-Agent Learning cs.AI · 2017 · author #5
8. Multi-agent Reinforcement Learning in Sequential Social Dilemmas cs.MA · 2017 · author #2

Mentions

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Frequent Coauthors

• Thore Graepel 5 shared papers
• Karl Tuyls 4 shared papers
• Joel Z. Leibo 3 shared papers
• Marc Lanctot 3 shared papers
• Yujia Li 3 shared papers
• Adam Santoro 2 shared papers
• Alvaro Sanchez-Gonzalez 2 shared papers
• Andrea Tacchetti 2 shared papers
• Audrunas Gruslys 2 shared papers
• David Raposo 2 shared papers
• Julien Perolat 2 shared papers
• Matthew Botvinick 2 shared papers
• Oriol Vinyals 2 shared papers
• Peter Battaglia 2 shared papers
• Peter W. Battaglia 2 shared papers
• Pushmeet Kohli 2 shared papers
• Razvan Pascanu 2 shared papers
• Victor Bapst 2 shared papers
• Victoria Langston 2 shared papers
• Andrew Ballard 1 shared papers