Code and Data for paper: Bayesian-Belief Direct Policy Search for Adaptive Water Supply Planning with Endogenous Learning
Abstract
This record archives the code (and supporting data) used in Bayesian-Belief Direct Policy Search for Adaptive Water Supply Planning with Endogenous Learning.The repository includes: (i) policy training scripts (Bayesian DPS and standard DPS), (ii) simulation model and experiment configuration files, and (iii) scripts to reproduce the main figures and tables in the manuscript and Supporting Information. How to reproduce: Install dependencies (see Readme/Requirements). Run main_par.py to generate experiments.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026