Concise and beautiful algorithms written in Julia
-
Updated
Mar 4, 2025 - Julia
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.
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.
Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.
This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.
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"
Synthesizing safe robot policies in joint physical-belief spaces with deep RL! - CoRL 2023
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
A framework for modeling non-stationary Markov decision processes and the key decision making problems in these environments
Code for "Human-Aligned Calibration for AI-Assisted Decision Making", NeurIPS 2023
Code for "On the Within-group Discrimination of Screening Classifiers", ICML 2023
Add a description, image, and links to the decision-making-under-uncertainty topic page so that developers can more easily learn about it.
To associate your repository with the decision-making-under-uncertainty topic, visit your repo's landing page and select "manage topics."