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Decision Making

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

https://github.com/CausalML/StochOptForest

공식 코드

Stochastic Optimization Forests

https://github.com/CedricLeon/Survey_RS-ML-FPGA

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FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review

https://github.com/ChenJiaoyan/X-TL

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Knowledge-based Transfer Learning Explanation

https://github.com/ChenLiu-1996/ImageFlowNet

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ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

https://github.com/ChenVoid/CombatVLA

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CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games

https://github.com/ChrisWise07/ZEIT3190-Swarm-Research

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Developing Decentralised Resilience to Malicious Influence in Collective Perception Problem

https://github.com/ChristelSirocchi/XAI-similarity

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Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care

https://github.com/Cogito2012/DRIVE

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DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation

https://github.com/CompBioUIC/FLICA

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Coordination Event Detection and Initiator Identification in Time Series Data

https://github.com/CraftJarvis/ROCKET-1

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ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

https://github.com/CryoCardiogram/ijcai-cache-loss-pno

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Contrastive Losses and Solution Caching for Predict-and-Optimize

https://github.com/DBarreraFerro/No-show

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Improving healthcare access management by predicting patient no-show behaviour

https://github.com/DFKI-NLP/CoXQL

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CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

https://github.com/DSobscure/cgi_drl_platform

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An Unsupervised Video Game Playstyle Metric via State Discretization

https://github.com/DanieleGammelli/gnn-rl-for-amod

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Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

https://github.com/DanieleGammelli/variational-poisson-rnn

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Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management

https://github.com/DaphneAntotsiou/Adversarial-Imitation-Learning-with-Trajectorial-Augmentation-and-Correction

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Adversarial Imitation Learning with Trajectorial Augmentation and Correction

https://github.com/DaphneAntotsiou/MAPS

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Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division

https://github.com/DaphneAntotsiou/task-oriented-hand-retargeting

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Task-Oriented Hand Motion Retargeting for Dexterous Manipulation Imitation

https://github.com/DeepMIALab/AI-FFPE

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Deep Learning-based Frozen Section to FFPE Translation

https://github.com/Deepakgthomas/TSM_RL

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Temporal Shift Reinforcement Learning

https://github.com/DehouZhang/Online-Search-with-Predictions

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Online Search With Best-Price and Query-Based Predictions

https://github.com/Devin-Taylor/multi-head-co-attention

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Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making

https://github.com/DexterZeng/CEAFF

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Reinforcement Learning based Collective Entity Alignment with Adaptive Features

https://github.com/DionysisChristopoulos/TRACE

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TRACE: Transformer-based Risk Assessment for Clinical Evaluation

https://github.com/Div99/IQ-Learn

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IQ-Learn: Inverse soft-Q Learning for Imitation

https://github.com/Dntfreitas/GA_PSO_DEEP_LEARNING

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Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG

https://github.com/DonsetPG/fenics-DRL

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A review on Deep Reinforcement Learning for Fluid Mechanics

https://github.com/DriveVLA/OpenDriveVLA

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OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model

https://github.com/Dynamical-Systems-Laboratory/ABM-COVID-DSL

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High-resolution agent-based modeling of COVID-19 spreading in a small town

https://github.com/Dynamics-of-Neural-Systems-Lab/MARBLE

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Interpretable statistical representations of neural population dynamics and geometry

https://github.com/EECi/VOI-for-Building-Energy

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Value of Information Analysis for rationalising information gathering in building energy analysis

https://github.com/Echoslayer/XAI_From_Classical_Models_to_LLMs

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A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

https://github.com/EduardoGarrido90/micro_agents

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Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations

https://github.com/EdwardJamesYoung/RL-portfolio-pursuit

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Reinforcement Learning applied to Insurance Portfolio Pursuit

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

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Decision-Focused Forecasting: A Differentiable Multistage Optimisation Architecture

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