Marcin Andrychowicz
E441112
Marcin Andrychowicz is a machine learning researcher known for his contributions to deep reinforcement learning, including the development of Hindsight Experience Replay.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marcin Andrychowicz canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4470522 — 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: Marcin Andrychowicz Context triple: [Hindsight Experience Replay, proposedBy, Marcin Andrychowicz]
-
A.
Sergey Levine
Sergey Levine is a prominent computer scientist and professor known for his influential research in deep reinforcement learning and robotics.
-
B.
Tomasz Arciszewski
Tomasz Arciszewski was a Polish socialist politician and statesman who served as prime minister of the Polish government-in-exile during World War II.
-
C.
Marcin Zukowski
Marcin Zukowski is a Polish computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
D.
Pieter Abbeel
Pieter Abbeel is a Belgian-American computer scientist and professor at UC Berkeley known for his influential work in robotics and deep reinforcement learning.
-
E.
Shane Legg
Shane Legg is a computer scientist and AI researcher best known as a co-founder of DeepMind and for his influential work on artificial general intelligence.
- 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: Marcin Andrychowicz Target entity description: Marcin Andrychowicz is a machine learning researcher known for his contributions to deep reinforcement learning, including the development of Hindsight Experience Replay.
-
A.
Sergey Levine
Sergey Levine is a prominent computer scientist and professor known for his influential research in deep reinforcement learning and robotics.
-
B.
Tomasz Arciszewski
Tomasz Arciszewski was a Polish socialist politician and statesman who served as prime minister of the Polish government-in-exile during World War II.
-
C.
Marcin Zukowski
Marcin Zukowski is a Polish computer scientist and entrepreneur best known as a co-founder of the cloud data warehousing company Snowflake.
-
D.
Pieter Abbeel
Pieter Abbeel is a Belgian-American computer scientist and professor at UC Berkeley known for his influential work in robotics and deep reinforcement learning.
-
E.
Shane Legg
Shane Legg is a computer scientist and AI researcher best known as a co-founder of DeepMind and for his influential work on artificial general intelligence.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
machine learning researcher
ⓘ
person ⓘ |
| authorOf | research papers on deep reinforcement learning ⓘ |
| coAuthorOf | Hindsight Experience Replay ⓘ |
| coAuthorWith |
OpenAI researchers
ⓘ
Piotr Wolski ⓘ |
| countryOfCitizenship | Poland ⓘ |
| educatedAt | University of Warsaw ⓘ |
| employedBy | OpenAI ⓘ |
| fieldOfStudy |
computer science
ⓘ
mathematics ⓘ |
| fieldOfWork |
deep learning
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| gender | male ⓘ |
| hasGivenTalkOn |
Hindsight Experience Replay
ⓘ
deep reinforcement learning ⓘ |
| hasGoogleScholarProfile | https://scholar.google.com/citations?user=7p0h4tUAAAAJ ⓘ |
| hasORCID | 0000-0002-6630-1404 ⓘ |
| hasPersonalPage | https://scholar.google.com/citations?user=7p0h4tUAAAAJ ⓘ |
| knownFor |
contributions to deep reinforcement learning
ⓘ
development of Hindsight Experience Replay ⓘ |
| nativeLanguage | Polish ⓘ |
| notableWork | Hindsight Experience Replay ⓘ |
| positionHeld | research scientist at OpenAI ⓘ |
| researchInterest |
goal-conditioned reinforcement learning
ⓘ
optimization in deep learning ⓘ robotics ⓘ 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.
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: Marcin Andrychowicz Description of subject: Marcin Andrychowicz is a machine learning researcher known for his contributions to deep reinforcement learning, including the development of Hindsight Experience Replay.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.