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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dan Horgan canonical | 1 |
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 NERFINISHED ⓘ |
| appliesTo | Atari 2600 games ⓘ |
| author |
Dan Horgan
NERFINISHED
ⓘ
David Silver NERFINISHED ⓘ Georg Ostrovski NERFINISHED ⓘ Hado van Hasselt NERFINISHED ⓘ Joseph Modayil NERFINISHED ⓘ Matteo Hessel NERFINISHED ⓘ Tom Schaul NERFINISHED ⓘ Will Dabney NERFINISHED ⓘ |
| basedOn | Deep Q-Network NERFINISHED ⓘ |
| coAuthorOf | Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED ⓘ |
| combinesMethod |
Distributional RL
ⓘ
Double DQN NERFINISHED ⓘ Dueling Network Architectures NERFINISHED ⓘ Multi-step Learning ⓘ Noisy Nets NERFINISHED ⓘ Prioritized Experience Replay NERFINISHED ⓘ |
| developer |
Dan Horgan
NERFINISHED
ⓘ
DeepMind NERFINISHED ⓘ Hado van Hasselt NERFINISHED ⓘ Matteo Hessel NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| introducedAlgorithm | Rainbow DQN NERFINISHED ⓘ |
| mainSubject |
deep reinforcement learning
ⓘ
value-based reinforcement learning ⓘ |
| notableFor | co-developing the Rainbow DQN algorithm ⓘ |
| notableWork | Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED ⓘ |
| publicationYear | 2017 ⓘ |
| worksOn |
neural network function approximation in RL
ⓘ
value-based deep reinforcement learning ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Dan Horgan Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.