Dan Horgan

E736832

deep reinforcement learning algorithm machine learning researcher person reinforcement learning algorithm scientific paper

Dan Horgan is a machine learning researcher known for co-authoring the influential Rainbow DQN algorithm that combines multiple deep reinforcement learning improvements into a single unified agent.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (1)

Label	Occurrences
Dan Horgan canonical	3

How this entity was disambiguated

This entity first appeared as the object of triple T8482976 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Dan Horgan
Context triple: [Rainbow DQN, proposedBy, Dan Horgan]

A. Ian Hultquist
Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
B. Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
C. Jeff MacNelly
Jeff MacNelly was an American editorial cartoonist and creator of the comic strip "Shoe," renowned for his sharp political satire and three Pulitzer Prizes for Editorial Cartooning.
D. Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
E. Sean Hartnett
Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Dan Horgan
Target entity description: Dan Horgan is a machine learning researcher known for co-authoring the influential Rainbow DQN algorithm that combines multiple deep reinforcement learning improvements into a single unified agent.

A. Ian Hultquist
Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
B. Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
C. Jeff MacNelly
Jeff MacNelly was an American editorial cartoonist and creator of the comic strip "Shoe," renowned for his sharp political satire and three Pulitzer Prizes for Editorial Cartooning.
D. Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
E. Sean Hartnett
Sean Hartnett is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hartnett, with no widely recognized public profile or achievements documented.
F. None of above. chosen

Statements (39)

Predicate	Object
instanceOf	deep reinforcement learning algorithm ⓘ machine learning researcher ⓘ person ⓘ reinforcement learning algorithm ⓘ scientific paper ⓘ
affiliation	DeepMind ⓘ
appliesTo	Atari 2600 games ⓘ
author	Dan Horgan ⓘ David Silver ⓘ Georg Ostrovski ⓘ Hado van Hasselt ⓘ Joseph Modayil ⓘ Matteo Hessel ⓘ Tom Schaul ⓘ Will Dabney ⓘ
basedOn	Deep Q-Network ⓘ linked to: Deep Q-Learning
coAuthorOf	Rainbow: Combining Improvements in Deep Reinforcement Learning ⓘ linked to: Rainbow DQN
combinesMethod	Distributional RL ⓘ Double DQN ⓘ Dueling Network Architectures ⓘ linked to: Dueling DQN Multi-step Learning ⓘ Noisy Nets ⓘ Prioritized Experience Replay ⓘ linked to: Prioritized Experience Replay DQN
developer	Dan Horgan ⓘ DeepMind ⓘ Hado van Hasselt ⓘ Matteo Hessel ⓘ
fieldOfWork	artificial intelligence ⓘ deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ
introducedAlgorithm	Rainbow DQN ⓘ
mainSubject	deep reinforcement learning ⓘ value-based reinforcement learning ⓘ
notableFor	co-developing the Rainbow DQN algorithm ⓘ
notableWork	Rainbow: Combining Improvements in Deep Reinforcement Learning ⓘ linked to: Rainbow DQN
publicationYear	2017 ⓘ
worksOn	neural network function approximation in RL ⓘ value-based deep reinforcement learning ⓘ

How these facts were elicited

Referenced by (3)

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

Rainbow DQN → proposedBy → Dan Horgan ⓘ

Rainbow: Combining Improvements in Deep Reinforcement Learning → author → Dan Horgan ⓘ

subject linked to: Dan Horgan

Rainbow DQN → developer → Dan Horgan ⓘ