# Adaptive Dynamic Programming Control

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/adaptive-dynamic-programming-control-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 192,514 |
| Description | This cluster of papers focuses on the application of Adaptive Dynamic Programming and Reinforcement Learning techniques to solve optimal control problems in continuous-time nonlinear systems. It explores the use of neural networks, policy iteration, actor-critic algorithms, and $H_{infty}$ control for online learning and feedback control in various domains such as robotics, energy management, and multi-agent systems. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12794 |
| Works | 11,806 |

## Topic researchers

Showing 12 of 20.

- [Ilya Sutskever](https://scholariq.org/researchers/ilya-sutskever/)
- [Michael I. Jordan](https://scholariq.org/researchers/michael-i-jordan/)
- [David Silver](https://scholariq.org/researchers/david-silver/)
- [Koray Kavukcuoglu](https://scholariq.org/researchers/koray-kavukcuoglu/)
- [Karen Simonyan](https://scholariq.org/researchers/karen-simonyan/)
- [Andrew Y. Ng](https://scholariq.org/researchers/andrew-y-ng/)
- [Guanrong Chen](https://scholariq.org/researchers/guanrong-chen/)
- [Dacheng Tao](https://scholariq.org/researchers/dacheng-tao/)
- [Jinde Cao](https://scholariq.org/researchers/jinde-cao/)
- [Alexander Pritzel](https://scholariq.org/researchers/alexander-pritzel/)
- [Frank L. Lewis](https://scholariq.org/researchers/frank-l-lewis/)
- [Peng Shi](https://scholariq.org/researchers/peng-shi/)

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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.