Published January 19, 2026 | Version v1
Software Open

Code and Data for paper: Bayesian-Belief Direct Policy Search for Adaptive Water Supply Planning with Endogenous Learning

Authors/Creators

  • 1. EDMO icon Stanford University
  • 2. EDMO icon Georgetown University
  • 3. ROR icon Duke University

Description

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:

  1. Install dependencies (see Readme/Requirements).

  2. Run main_par.py to generate experiments.

     

Files

Bayesian-Belief-DPS-paper.zip

Files (26.1 MB)

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Additional details

Dates

Issued
2026-01-18