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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/learningmatter-mit/GLAMOUR

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GLAMOUR: Graph Learning over Macromolecule Representations

https://github.com/leduckhai/multimed

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Sentiment Reasoning for Healthcare

https://github.com/leduckhai/sentiment-reasoning

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Sentiment Reasoning for Healthcare

https://github.com/leehaoyuan/coverage_fairness

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Improving Fairness of Large Language Models in Multi-document Summarization

https://github.com/leggedrobotics/MPC-Net

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MPC-Net: A First Principles Guided Policy Search

https://github.com/lemeln/nam

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Neural Additive Models: Interpretable Machine Learning with Neural Nets

https://github.com/leooo-shen/tvrl

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Spatiotemporal Representation Learning for Short and Long Medical Image Time Series

https://github.com/lephong/diffmetric_coref

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Optimizing Differentiable Relaxations of Coreference Evaluation Metrics

https://github.com/lesley222/HJAILab-OPEN

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RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning

https://github.com/leslie071564/big5-llm-negotiator

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How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models

https://github.com/less-and-less-bugs/trust_teller

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TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection

https://github.com/letian2003/c-vqa

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What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

https://github.com/lext/DeepKnee

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Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

https://github.com/lguerdan/cp_ome

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Counterfactual Prediction Under Outcome Measurement Error

https://github.com/lguerdan/icml24_predictive_performance_comparison_dps

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Predictive Performance Comparison of Decision Policies Under Confounding

https://github.com/li-group/optichat

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OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

https://github.com/liangchen527/ridg

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Domain Generalization via Rationale Invariance

https://github.com/liangchunyaobing/rcm-airl

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A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards

https://github.com/liangzp/LDP-Bandit

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Generalized Linear Bandits with Local Differential Privacy

https://github.com/libowen2121/Imitation-Learning-for-Unsup-Parsing

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An Imitation Learning Approach to Unsupervised Parsing

https://github.com/lihualei71/cfcausal

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Conformal Inference of Counterfactuals and Individual Treatment Effects

https://github.com/lihualei71/cfcausalPaper

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Conformal Inference of Counterfactuals and Individual Treatment Effects

https://github.com/lijlansg/trafficgpt

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TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

https://github.com/lijunsun90/pursuitfsc2

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Toward multi-target self-organizing pursuit in a partially observable Markov game

https://github.com/lijunxian111/UIGNN

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Uncertainty-aware Traffic Prediction under Missing Data

https://github.com/lil-lab/drif

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Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning

https://github.com/lilly-muyama/RWD-Anemia-Diagnostic-Pathways

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Step-by-Step Guidance to Differential Anemia Diagnosis with Real-World Data and Deep Reinforcement Learning

https://github.com/lilly-muyama/anemia_diagnosis_pathways

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Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning

https://github.com/lilly-muyama/deep_rl_diagnosis_pathways

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Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus

https://github.com/lily-x/mirror

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Robust Reinforcement Learning Under Minimax Regret for Green Security

https://github.com/limanwang/balancing-rigor-and-utility

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Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions

https://github.com/lime728/mirage

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MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments

https://github.com/limorigu/Diff-causal-backdoor-disc

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Differentiable Causal Backdoor Discovery

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

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Multi-armed Bandit Learning on a Graph

https://github.com/linear95/dsp

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Everyone Deserves A Reward: Learning Customized Human Preferences

https://github.com/linenus/DRL-For-imbalanced-Classification

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Deep Reinforcement Learning for Imbalanced Classification

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