# Thore Graepel

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/thore-graepel/

## Facts

| Field | Value |
| --- | --- |
| Citations | 44,864 |
| Field | Reinforcement Learning in Robotics |
| h-index | 51 |
| i10-index | 120 |
| Last Known Institution | Google DeepMind (United Kingdom) |
| OpenAlex ID | https://openalex.org/A5051619646 |
| ORCID iD | https://orcid.org/0000-0003-3957-0310 |
| Works | 196 |

## Researcher topics

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Machine Learning and Algorithms](https://scholariq.org/topics/machine-learning-and-algorithms/)
- [Artificial Intelligence in Games](https://scholariq.org/topics/artificial-intelligence-in-games/)
- [Experimental Behavioral Economics Studies](https://scholariq.org/topics/experimental-behavioral-economics-studies/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Researcher university

- [Google DeepMind (United Kingdom)](https://scholariq.org/institutions/google-deepmind-united-kingdom/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.