Mohammad Azar

E740472

Mohammad Azar is a machine learning researcher known for co-authoring the influential Rainbow DQN algorithm in deep reinforcement learning.

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Mohammad Azar canonical 2

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Statements (21)

Predicate Object
instanceOf deep reinforcement learning algorithm
machine learning researcher
person
scientific paper
appliesTo Atari 2600 benchmark tasks
basedOn Deep Q-Networks (DQN)
linked to: Deep Q-Learning
coAuthorOf Rainbow: Combining Improvements in Deep Reinforcement Learning
linked to: Rainbow DQN
contributedTo development of Rainbow DQN
fieldOfWork artificial intelligence
deep learning
deep reinforcement learning
machine learning
reinforcement learning
hasAuthor Mohammad Azar
knownFor Rainbow DQN algorithm
linked to: Rainbow DQN
notableWork Rainbow: Combining Improvements in Deep Reinforcement Learning
linked to: Rainbow DQN
publicationType peer-reviewed conference papers
researchArea deep reinforcement learning
value-based reinforcement learning
usesMethod deep neural networks in reinforcement learning
worksOn algorithms for sequential decision making

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Referenced by (2)

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

Rainbow DQN proposedBy Mohammad Azar
Rainbow: Combining Improvements in Deep Reinforcement Learning hasAuthor Mohammad Azar
subject linked to: Mohammad Azar