Arthur Guez
E455377
Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Arthur Guez canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4586027 — 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.
Target entity: Arthur Guez Context triple: [Double DQN, introducedBy, Arthur Guez]
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A.
Robert Fisher
Robert Fisher is an artist and designer best known for creating the iconic cover art for Nirvana’s album "In Utero."
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B.
Robert Fisher Jr.
Robert Fisher Jr. is a film editor best known for his work on the acclaimed animated feature "Spider-Man: Into the Spider-Verse."
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C.
Robert Fisher Jr.
Robert Fisher Jr. is a cinematographer best known for his work on the acclaimed animated film "Spider-Man: Into the Spider-Verse."
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D.
Arthur Schoenfeld
Arthur Schoenfeld was an American diplomat who served as the United States Ambassador to Hungary during the mid-20th century.
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E.
Frank Torre
Frank Torre was an American Major League Baseball first baseman, best known for his years with the Milwaukee Braves and as the older brother of Hall of Fame manager Joe Torre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Arthur Guez Target entity description: Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
-
A.
Robert Fisher
Robert Fisher is an artist and designer best known for creating the iconic cover art for Nirvana’s album "In Utero."
-
B.
Robert Fisher Jr.
Robert Fisher Jr. is a cinematographer best known for his work on the acclaimed animated film "Spider-Man: Into the Spider-Verse."
-
C.
Robert Fisher Jr.
Robert Fisher Jr. is a film editor best known for his work on the acclaimed animated feature "Spider-Man: Into the Spider-Verse."
-
D.
Arthur Schoenfeld
Arthur Schoenfeld was an American diplomat who served as the United States Ambassador to Hungary during the mid-20th century.
-
E.
Frank Torre
Frank Torre was an American Major League Baseball first baseman, best known for his years with the Milwaukee Braves and as the older brother of Hall of Fame manager Joe Torre.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning researcher
ⓘ
person ⓘ |
| affiliation |
DeepMind reinforcement learning team
ⓘ
linked to:
DeepMind
|
| coAuthorOf |
Bayes-Adaptive Monte-Carlo Planning and Learning in POMDPs
ⓘ
Bayes-Adaptive Planning in Markov Decision Processes ⓘ Deep Reinforcement Learning with Double Q-learning ⓘ
linked to:
Double DQN
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search ⓘ Information-Theoretic Regret Bounds for Online Nonparametric Regression ⓘ Investigating Model-Free Planning in Human Choice Prediction ⓘ Sample-based Search for Optimal Planning in Markov Decision Processes ⓘ
linked to:
Monte Carlo tree search
|
| coAuthorWith |
David Silver
ⓘ
Hado van Hasselt ⓘ |
| coDeveloperOf |
Double DQN algorithm
ⓘ
linked to:
Double DQN
|
| doctoralThesisTopic | Bayes-adaptive planning and learning in Markov decision processes ⓘ |
| educatedAt | McGill University ⓘ |
| employer |
Google DeepMind
ⓘ
linked to:
DeepMind
|
| fieldOfWork |
artificial intelligence
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| gender | male ⓘ |
| hasAcademicAdvisor | Doina Precup ⓘ |
| hasCitation |
Deep Reinforcement Learning with Double Q-learning (2015)
ⓘ
linked to:
Double DQN
|
| knownFor |
Double DQN algorithm
ⓘ
linked to:
Double DQN
|
| memberOf | DeepMind ⓘ |
| nationality | French ⓘ |
| notableWork |
Deep Reinforcement Learning with Double Q-learning
ⓘ
linked to:
Double DQN
|
| researchInterest |
Monte Carlo tree search
ⓘ
model-based reinforcement learning ⓘ planning in reinforcement learning ⓘ |
| worksOn |
applications of deep RL to games
ⓘ
sample-efficient 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.
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.
Subject: Arthur Guez Description of subject: Arthur Guez is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Double DQN algorithm.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.