Marc Lanctot
E441100
Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marc Lanctot canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T4470154 — 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: Marc Lanctot Context triple: [Dueling DQN, introducedBy, Marc Lanctot]
-
A.
Gregor Fisher
Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Blake Ritson
Blake Ritson is a British actor and director known for his roles in television dramas such as "Da Vinci's Demons" and "Upstairs Downstairs," as well as for his extensive voice work in audiobooks and video games.
-
D.
Graham McTavish
Graham McTavish is a Scottish actor and voice actor best known for his roles in "Outlander," "The Hobbit" film trilogy, and various video games and television series.
-
E.
Andrew Scarborough
Andrew Scarborough is a British actor known for his work in television dramas, including a role in the 2013 miniseries "The Bible."
- 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: Marc Lanctot Target entity description: Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
-
A.
Gregor Fisher
Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
-
B.
Will Firth
Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
-
C.
Blake Ritson
Blake Ritson is a British actor and director known for his roles in television dramas such as "Da Vinci's Demons" and "Upstairs Downstairs," as well as for his extensive voice work in audiobooks and video games.
-
D.
Graham McTavish
Graham McTavish is a Scottish actor and voice actor best known for his roles in "Outlander," "The Hobbit" film trilogy, and various video games and television series.
-
E.
Andrew Scarborough
Andrew Scarborough is a British actor known for his work in television dramas, including a role in the 2013 miniseries "The Bible."
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ researcher ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
game AI ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasContribution |
development of deep reinforcement learning methods
ⓘ
research on game-theoretic approaches in AI ⓘ research on value-based reinforcement learning ⓘ |
| knownFor |
Dueling DQN
ⓘ
deep reinforcement learning ⓘ research on decision-making under uncertainty ⓘ research on game-playing agents ⓘ |
| notableWork |
Dueling DQN architecture for deep reinforcement learning
ⓘ
linked to:
Dueling DQN
|
| occupation |
computer scientist
ⓘ
research scientist ⓘ |
| researchInterest |
deep learning for control
ⓘ
game-playing AI ⓘ multi-agent systems ⓘ reinforcement learning algorithms ⓘ sequential decision making ⓘ |
| usesMethod |
Q-learning
ⓘ
deep neural networks ⓘ value function approximation ⓘ |
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: Marc Lanctot Description of subject: Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.