# HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hypole-hyperproperty-guided-multi-agent-reinforcement-learning-under-partial-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Arshia Rafieioskouei,Tzu-Han Hsu,Matthew Lucas,Borzoo Bonakdarpour |
| Citations | 0 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2606.30966 |
| OpenAlex ID | https://openalex.org/W7167154373 |
| Type | preprint |
| Year | 2026 |

## 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

- [Formal Methods in Verification](https://scholariq.org/topics/formal-methods-in-verification/)

## Paper topics

- [Formal Methods in Verification](https://scholariq.org/topics/formal-methods-in-verification/)
- [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/)

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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.