Vinícius Zambaldi

Computer Science · Physical Sciences

17h-index4.8kcitations23works43.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Reinforcement Learning in Robotics(13), Evolutionary Game Theory and Cooperation(5), Experimental Behavioral Economics Studies(4), Domain Adaptation and Few-Shot Learning(4), Artificial Intelligence in Games(3)

Publications23 total

De novo design of high-affinity protein binders with AlphaProteo
arXiv (Cornell University)·2024· 42 citedOpen Access
A model of egocentric to allocentric understanding in mammalian brains
2020· 51 citedOpen Access
The Advantage Regret-Matching Actor-Critic
arXiv (Cornell University)·2020· 8 citedOpen Access
MEMO: A Deep Network for Flexible Combination of Episodic Memories
arXiv (Cornell University)·2020· 7 citedOpen Access
OpenSpiel: A Framework for Reinforcement Learning in Games
arXiv (Cornell University)·2019· 106 citedOpen Access
Compositional Imitation Learning: Explaining and executing one task at a time
arXiv (Cornell University)·2018· 7 citedOpen Access
CompILE: Compositional Imitation Learning and Execution
arXiv (Cornell University)·2018· 11 citedOpen Access
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
arXiv (Cornell University)·2018· 71 citedOpen Access
Actor-Critic Policy Optimization in Partially Observable Multiagent\n Environments
arXiv (Cornell University)·2018· 35 citedOpen Access
Relational Forward Models for Multi-Agent Learning
arXiv (Cornell University)·2018· 26 citedOpen Access
Relational Forward Models for Multi-Agent Learning
UCL Discovery (University College London)·2018· 33 citedOpen Access
Deep reinforcement learning with relational inductive biases
International Conference on Learning Representations·2018· 135 cited
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
2018· 476 cited
Relational Deep Reinforcement Learning
arXiv (Cornell University)·2018· 159 citedOpen Access
Relational inductive biases, deep learning, and graph networks
arXiv (Cornell University)·2018· 2.4k citedOpen Access
A multi-agent reinforcement learning model of common-pool resource appropriation
UCL Discovery (University College London)·2017· 54 cited
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
arXiv (Cornell University)·2017· 142 citedOpen Access
A multi-agent reinforcement learning model of common-pool resource appropriation
arXiv (Cornell University)·2017· 68 citedOpen Access
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
arXiv (Cornell University)·2017· 521 citedOpen Access
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
arXiv (Cornell University)·2017· 163 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Karl Tuyls(10), Peter Battaglia(8), Marc Lanctot(8), Thore Graepel(8), Matthew Botvinick(6), Julien Pérolat(6), Pushmeet Kohli(5), Yujia Li(5), Joel Z. Leibo(5), Audrūnas Gruslys(4), Victor Bapst(3), Álvaro Sánchez‐González(3), Andrea Tacchetti(3), David Raposo(3), Adam Santoro(3), Victoria Langston(3), Oriol Vinyals(3), Razvan Pascanu(3), Edward Lockhart(3), Sriram Srinivasan(3)