Joseph Modayil

E736831

Joseph Modayil is a researcher in artificial intelligence and reinforcement learning, known for co-authoring the influential Rainbow DQN algorithm that combines multiple DQN improvements into a single unified agent.

All labels observed (1)

Label Occurrences
Joseph Modayil canonical 3

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Statements (18)

Predicate Object
instanceOf computer scientist ⓘ
researcher ⓘ
algorithmContribution Rainbow DQN combines several DQN improvements into one unified agent ⓘ
linked to: Rainbow DQN
coAuthored Rainbow: Combining Improvements in Deep Reinforcement Learning ⓘ
linked to: Rainbow DQN
contributedTo combining multiple DQN extensions into a single agent ⓘ
fieldOfWork artificial intelligence ⓘ
deep reinforcement learning ⓘ
reinforcement learning ⓘ
knownFor co-authoring the Rainbow DQN algorithm ⓘ
notableWork Rainbow DQN ⓘ
researchInterest practical improvements to RL algorithms ⓘ
scalable reinforcement learning systems ⓘ
value-based deep reinforcement learning ⓘ
studies sample-efficient reinforcement learning methods ⓘ
stability and performance of deep RL agents ⓘ
workFocusesOn deep reinforcement learning algorithms ⓘ
improvements to Deep Q-Networks (DQN) ⓘ
value-based reinforcement learning ⓘ

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Referenced by (3)

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

Rainbow DQN → proposedBy → Joseph Modayil ⓘ
Rainbow: Combining Improvements in Deep Reinforcement Learning → author → Joseph Modayil ⓘ
subject linked to: Dan Horgan
Bilal Piot → hasCoAuthor → Joseph Modayil ⓘ