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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/Sai-Santosh-99/ReconfigPHY

공식 코드

Towards Intelligent Reconfigurable Wireless Physical Layer (PHY)

https://github.com/SaminYeasar/Off_Policy_Adversarial_Inverse_Reinforcement_Learning

공식 코드

Off-Policy Adversarial Inverse Reinforcement Learning

https://github.com/SamirRCHI/Viral_Load_Data_Categorization

공식 코드

Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method

https://github.com/SawanKumar28/nile

공식 코드

NILE : Natural Language Inference with Faithful Natural Language Explanations

https://github.com/ServiceNow/tactis

공식 코드

TACTiS: Transformer-Attentional Copulas for Time Series

https://github.com/Sha-Lab/babywalk

공식 코드

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps

https://github.com/Shafiq-Abdu/OFI_Main

공식 코드

Hybrid Vector Auto Regression and Neural Network Model for Order Flow Imbalance Prediction in High Frequency Trading

https://github.com/ShangtongZhang/DeepRL

공식 코드

QUOTA: The Quantile Option Architecture for Reinforcement Learning

https://github.com/ShaniGam/RL-GAN

공식 코드

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

https://github.com/ShengranHu/Thought-Cloning

공식 코드

Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

https://github.com/ShreeSinghi/RiemannOpt

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Riemann Sum Optimization for Accurate Integrated Gradients Computation

https://github.com/ShufanWangBGM/OAfMSSRwMLA

공식 코드

Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice

https://github.com/SilviaSapora/evil

공식 코드

EvIL: Evolution Strategies for Generalisable Imitation Learning

https://github.com/SimarKareer/EgoMimic

공식 코드

EgoMimic: Scaling Imitation Learning via Egocentric Video

https://github.com/SimonDeVos/DCF

공식 코드

Decision-centric fairness: Evaluation and optimization for resource allocation problems

https://github.com/SimonKohl/probabilistic_unet

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A Probabilistic U-Net for Segmentation of Ambiguous Images

https://github.com/Simula-COMPLEX/pure

공식 코드

Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving

https://github.com/SinaMohseni/ML-Interpretability-Evaluation-Benchmark

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A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning

https://github.com/SitLog/source_code

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Deliberative and Conceptual Inference in Service Robots

https://github.com/SofeeyaJ/GASCADE_ECIR2025

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GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance

https://github.com/Space-Robotics-Laboratory/rlstar

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RL STaR Platform: Reinforcement Learning for Simulation based Training of Robots

https://github.com/Stanford-ILIAD/CARLO

공식 코드

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving

https://github.com/Stanford-ILIAD/Confidence-Aware-Imitation-Learning

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Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality

https://github.com/StanfordAI4HI/off_policy_confounding

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Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding

https://github.com/StanfordASL/RSIRL

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Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods

https://github.com/StanfordASL/TrafficWeavingCVAE

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Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

https://github.com/StanfordASL/Trajectron

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The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

https://github.com/StatResp/KDD_IncidentPrediction

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Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

https://github.com/StatResp/smart-comp_IncidentPrediction

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Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

https://github.com/StonyBrookNLP/BioNLI

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BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples

https://github.com/Streaming-Diffusion-Policy/streaming_diffusion_policy

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Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

https://github.com/THU-KEG/HIF-KAT

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Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making

https://github.com/THUDM/LVBench

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LVBench: An Extreme Long Video Understanding Benchmark

https://github.com/TIMAN-group/covid19_misinformation

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Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation

https://github.com/TUM-ITR/koopcore

공식 코드

Koopman Kernel Regression

https://github.com/TURuibo/long-term-impact-of-fairness-constraints

공식 코드

How Do Fair Decisions Fare in Long-term Qualification?

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