# HypRL: Reinforcement Learning of Control Policies for Hyperproperties

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hyprl-reinforcement-learning-of-control-policies-for-hyperproperties/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tzu-Han Hsu,Arshia Rafieioskouei,Borzoo Bonakdarpour |
| Citations | 0 |
| DOI | 10.48550/arxiv.2504.04675 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2504.04675 |
| OpenAlex ID | https://openalex.org/W4416526765 |
| Type | preprint |
| Year | 2025 |

## Paper authors

- [Arshia Rafieioskouei](https://scholariq.org/researchers/arshia-rafieioskouei/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)

## Paper topics

- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)

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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.