# Learning for Dynamics and Control

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/learning-for-dynamics-and-control/

## Facts

| Field | Value |
| --- | --- |
| Citations | 512 |
| h-index | 10 |
| Open Access | false |
| OpenAlex ID | https://openalex.org/S4306518315 |
| Works | 81 |

## Journal papers

- [Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics](https://scholariq.org/papers/probabilistic-safety-constraints-for-learned-high-relative-degree-system-2/)

## Journal top topics

Showing 8 of 25.

- [Advanced Control Systems Optimization](https://scholariq.org/topics/advanced-control-systems-optimization/)
- [Control Systems and Identification](https://scholariq.org/topics/control-systems-and-identification/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Advanced Bandit Algorithms Research](https://scholariq.org/topics/advanced-bandit-algorithms-research/)
- [Iterative Learning Control Systems](https://scholariq.org/topics/iterative-learning-control-systems/)

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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.