Arthur Guez

E455377

Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.

All labels observed (1)

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Arthur Guez canonical 2

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Predicate Object
instanceOf machine learning researcher
person
affiliation DeepMind reinforcement learning team
linked to: DeepMind
coAuthorOf Bayes-Adaptive Monte-Carlo Planning and Learning in POMDPs
Bayes-Adaptive Planning in Markov Decision Processes
Deep Reinforcement Learning with Double Q-learning
linked to: Double DQN

Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Information-Theoretic Regret Bounds for Online Nonparametric Regression
Investigating Model-Free Planning in Human Choice Prediction
Sample-based Search for Optimal Planning in Markov Decision Processes
coAuthorWith David Silver
Hado van Hasselt
coDeveloperOf Double DQN algorithm
linked to: Double DQN
doctoralThesisTopic Bayes-adaptive planning and learning in Markov decision processes
educatedAt McGill University
employer Google DeepMind
linked to: DeepMind
fieldOfWork artificial intelligence
deep reinforcement learning
machine learning
reinforcement learning
gender male
hasAcademicAdvisor Doina Precup
hasCitation Deep Reinforcement Learning with Double Q-learning (2015)
linked to: Double DQN
knownFor Double DQN algorithm
linked to: Double DQN
memberOf DeepMind
nationality French
notableWork Deep Reinforcement Learning with Double Q-learning
linked to: Double DQN
researchInterest Monte Carlo tree search
model-based reinforcement learning
planning in reinforcement learning
worksOn applications of deep RL to games
sample-efficient reinforcement learning

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Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Double DQN introducedBy Arthur Guez
AlphaGo Zero hasAuthor Arthur Guez