Vinicius Zambaldi

7 papers · 2017–2020 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

ICLR (3) NeurIPS (3) ICML (1)

Top co-authors

Karl Tuyls (4) Matthew Botvinick (3) Thore Graepel (3) Julien Pérolat (3) Yujia Li (2) Marc Lanctot (2) Peter Battaglia (2) Sriram Srinivasan (1) Charles Blundell (1) Adrià Puigdomènech Badia (1)

Research topics

Artificial Intelligence (6) Core AI (6) Reinforcement Learning (4) Applications (4) Methods (4) Deep Learning (2) Machine Learning (1) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

multi-agent reinforcement learning (3) relational reasoning (2) multi-agent system (2) game theory (1) nash equilibrium (1) message passing (1) episodic memory (1) multi-agent learning (1) policy selection (1) sequence segmentation (1) partially observable (1) zero-sum game (1) sparse reward (1) partial observation (1) game-theoretic analysis (1) interpretable representation (1) game-theoretic approach (1) memory network (1) common-pool resource (1) external memory (1)

Papers

MEMO: A Deep Network for Flexible Combination of Episodic Memories ICLR 2020 CompILE: Compositional Imitation Learning and Execution ICML 2019 Deep reinforcement learning with relational inductive biases ICLR 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NeurIPS 2018 A multi-agent reinforcement learning model of common-pool resource appropriation NeurIPS 2017 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning NeurIPS 2017