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 1

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Predicate Object
instanceOf deep reinforcement learning algorithm
machine learning researcher
person
scientific paper
appliesTo Atari 2600 benchmark tasks
basedOn Deep Q-Networks (DQN) NERFINISHED
coAuthorOf Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED
contributedTo development of Rainbow DQN
fieldOfWork artificial intelligence
deep learning
deep reinforcement learning
machine learning
reinforcement learning
hasAuthor Mohammad Azar NERFINISHED
knownFor Rainbow DQN algorithm NERFINISHED
notableWork Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED
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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Rainbow DQN proposedBy Mohammad Azar