# Tom Schaul

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/tom-schaul/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,126 |
| Field | Reinforcement Learning in Robotics |
| h-index | 41 |
| i10-index | 68 |
| OpenAlex ID | https://openalex.org/A5081322018 |
| ORCID iD | https://orcid.org/0000-0002-2961-8782 |
| Works | 109 |

## Researcher topics

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Evolutionary Algorithms and Applications](https://scholariq.org/topics/evolutionary-algorithms-and-applications/)
- [Artificial Intelligence in Games](https://scholariq.org/topics/artificial-intelligence-in-games/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

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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.