Code Repository: Robust Optimal Control of Partially Observable Systems Using Reinforcement Learning
Welcome to the code repository related to the paper titled:
- Title: Robust optimal control of partially observable systems using reinforcement learning
- Authors: Atish Dixit, Ahmed H. ElSheikh
- Affiliation: School of Energy, Geoscience, Infrastructure, and Society, Heriot-Watt University, Edinburgh, UK
- Journal: Engineering Applications of Artificial Intelligence
- DOI: https://doi.org/10.1016/j.engappai.2022.105106
Within this repository, you will find simulations and result visualizations for two distinct case studies. These case studies are meticulously examined and demonstrated through Jupyter notebooks available in the respective folders:
case 1case 2
In the event that certain notebooks are not readily accessible on GitHub, we provide an alternative link for your convenience: Notebook Viewer
Feel free to explore and engage with these resources to gain a deeper understanding of robust optimal control for partially observable systems, illuminated by the power of reinforcement learning.