Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
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Updated
Dec 15, 2020
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
Concise and beautiful algorithms written in Julia
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.
A Python library for Robotic Information Gathering
Decision Making Theory course in MAI
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
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.
Final Project for AA 228: Decision-Making under Uncertainty: Decision-Making Towards a Multi-Use Framework for Grid-Scale Energy Storage
Introductory (adjustable) robust optimization by matrix computation with box uncertainty and budget of uncertainty.
Code for "Human-Aligned Calibration for AI-Assisted Decision Making", NeurIPS 2023
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
Code for "On the Within-group Discrimination of Screening Classifiers", ICML 2023
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
The code used for the paper: Algebraic Circuits for Decision Theoretic Inference and Learning
Supplemental materials for Karduni et al. (ICWSM 2018) - "Can You Verifi This? Studying Uncertainty and Decision-Making about Misinformation in Visual Analytics"
An agent-based model for simulating farmers' decision-making, developed by the AECP Group at ETH Zurich (www.aecp.ethz.ch).
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