There are 4 repositories under decision-making-under-uncertainty topic.
Concise and beautiful algorithms written in Julia
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
[NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
A Python library for Robotic Information Gathering
DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.
Implementation of implicit dual control-based active uncertainty learning for human-robot interaction - WAFR 2022 & IJRR 2023
Implementation of SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction - RAL 2022
Code for paper: End-to-end Stochastic Optimization with Energy-based Model
Code supporting the paper Collaborative Decision Making Using Action Suggestions.
This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.
Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.
Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos, Cyprus. Design & operate water distribution systems under deep uncertainty, featuring staged interventions, AI & policymaking.
open-source package for robust optimization
Supplemental materials for Karduni et al. (ICWSM 2018) - "Can You Verifi This? Studying Uncertainty and Decision-Making about Misinformation in Visual Analytics"
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
Final Project for AA 228: Decision-Making under Uncertainty: Decision-Making Towards a Multi-Use Framework for Grid-Scale Energy Storage
Synthesizing safe robot policies in joint physical-belief spaces with deep RL! - CoRL 2023
An agent-based model for simulating farmers' decision-making, developed by the AECP Group at ETH Zurich (www.aecp.ethz.ch).
Coding hypothetical graphs to show how accounting for climate change and uncertainty in flood hazard and levee effect in flood exposure would impact flood risk pdfs and expected values.
Code for "Human-Aligned Calibration for AI-Assisted Decision Making", NeurIPS 2023
Code for "On the Within-group Discrimination of Screening Classifiers", ICML 2023
Kilobot implementation of distributed consensus algorithms based partially on time-modulation for site-quality dissemination similar to honeybees.
A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
Decision Making Theory course in MAI
This repository π implements Q-Learning π€ in Blackjack π, comparing it with random action selection π² and basic strategies π. Includes experiments π¬ with various strategies, rule variations βοΈ, and deck numbers ππ¦ to evaluate performance π.
The code used for the paper: Algebraic Circuits for Decision Theoretic Inference and Learning
This repository contains source code to run the United States Disease Outbreak Simulation (USDOS), as well as R scripts to generate configuration files (createConfig.R) and process model output (Post_Processing)