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Decision Making Under Uncertainty

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AdaCompNUS/magic

공식 코드

MAGIC: Learning Macro-Actions for Online POMDP Planning

https://github.com/Annie983284450-1/NeuralLCB_C

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NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction

https://github.com/EgoPer/Decision-Focused-Forecasting

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Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture

https://github.com/EmuKit/emukit

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Emulation of physical processes with Emukit

https://github.com/HilaManor/GaussianDenoisingPosterior

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On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

https://github.com/JamesR-J/multi_agent_climate_pathways

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Crafting desirable climate trajectories with RL explored socio-environmental simulations

https://github.com/Lycle/ICNN2SP

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ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming

https://github.com/Maru92/EntityAddressBitcoin

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A Probabilistic Model of the Bitcoin Blockchain

https://github.com/Pesaran/High-dimensional-UK-Inflation-Forecast-April-4-2024

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High-dimensional forecasting with known knowns and known unknowns

https://github.com/Yu-Group/covid19-severity-prediction

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Curating a COVID-19 data repository and forecasting county-level death counts in the United States

https://github.com/alextimans/traffic4cast-uncertainty

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Uncertainty Quantification for Image-based Traffic Prediction across Cities

https://github.com/ali-forootani/compactformer

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Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks

https://github.com/buseskorkmaz/arteo

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Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm

https://github.com/chrisyeh96/e2e-conformal

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End-to-End Conformal Calibration for Optimization Under Uncertainty

https://github.com/devmotion/calibration_iclr2021

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Calibration tests beyond classification

https://github.com/dimarkov/aibandits

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An empirical evaluation of active inference in multi-armed bandits

https://github.com/diux-xview/xview3-reference

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xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery

https://github.com/docu-lab/differentiable_dro_layers

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Differentiable Distributionally Robust Optimization Layers

https://github.com/floating-ly/harmony1

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Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making

https://github.com/grockious/lcrl

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Logically-Constrained Reinforcement Learning

https://github.com/gwr3n/jsdp

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jsdp: a Java Stochastic DP Library

https://github.com/hudsonchen/CBQ

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Conditional Bayesian Quadrature

https://github.com/js05212/PyTorch-for-NPN

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Natural-Parameter Networks: A Class of Probabilistic Neural Networks

https://github.com/khalil-research/neur2sp

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Neur2SP: Neural Two-Stage Stochastic Programming

https://github.com/lina-robotics-lab/graph-bandit

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Multi-armed Bandit Learning on a Graph

https://github.com/manome/python-mab

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Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted Averages

https://github.com/mattiasegu/uncertainty_estimation_deep_learning

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A General Framework for Uncertainty Estimation in Deep Learning

https://github.com/maxramgraber/triangular-transport-toolbox

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A friendly introduction to triangular transport

https://github.com/mehrdad76/rmdp-lra

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Solving Long-run Average Reward Robust MDPs via Stochastic Games

https://github.com/minimaxbrl/minimax-bayes-rl

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Minimax-Bayes Reinforcement Learning

https://github.com/mohaes/vl4ml

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Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning

https://github.com/networks-learning/counterfactual-explanations-mdp

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Counterfactual Explanations in Sequential Decision Making Under Uncertainty

https://github.com/olivesgatech/voice-uncertainty

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VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability

https://github.com/ozguncck/recovering-the-imperfect

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Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins

https://github.com/raunakkmr/non-monotonic-resource-utilization-in-the-bandits-with-knapsacks-problem-code

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Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem

https://github.com/richoux/microPhantom

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microPhantom: Playing microRTS under uncertainty and chaos

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