# Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-rewards-for-robotic-ultrasound-scanning-using-probabilistic-temporal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Michael Burke,Katie Lu,Daniel Angelov,Artūras Straižys,Craig Innes,Kartic Subr,Subramanian Ramamoorthy |
| Citations | 0 |
| DOI | 10.48550/arxiv.2002.01240 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2002.01240 |
| OpenAlex ID | https://openalex.org/W3026823840 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Artūras Straižys](https://scholariq.org/researchers/arturas-straizys/)

## Paper journal

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

## Paper primary topic

- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)

## Paper topics

- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)

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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.