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Decision Making

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평가표

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보존된 평가 기록

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코드

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

https://github.com/yuchenxia/llmdrivensimulation

공식 코드

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

https://github.com/yueliukth/decoupling_breast_cancer_risk

공식 코드

Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

https://github.com/yueqingliang1/unbench

공식 코드

Benchmarking LLMs for Political Science: A United Nations Perspective

https://github.com/yugjerry/conformal-alignment

공식 코드

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees

https://github.com/yul091/dgslow

공식 코드

White-Box Multi-Objective Adversarial Attack on Dialogue Generation

https://github.com/yun-kwak/efficient-mcts

공식 코드

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction

https://github.com/yunfeiluo/autonomous-stock-trading

공식 코드

Agent Performing Autonomous Stock Trading under Good and Bad Situations

https://github.com/yunke-wang/dp-il

공식 코드

Imitation Learning from Purified Demonstrations

https://github.com/yunke-wang/uid

공식 코드

Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

https://github.com/yunqi-li/personalized-counterfactual-fairness-in-recommendation

공식 코드

Personalized Counterfactual Fairness in Recommendation

https://github.com/yunshihuang/pmcnet

공식 코드

Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling

https://github.com/yunyikristy/dualmind

공식 코드

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training

https://github.com/yuqian2003/mas4poi

공식 코드

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation

https://github.com/yushundong/edits

공식 코드

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

https://github.com/yushundong/referee

공식 코드

On Structural Explanation of Bias in Graph Neural Networks

https://github.com/yusonghust/HierarchicyBandit

공식 코드

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

https://github.com/yuyingzhao/fairexplanations-cfa

공식 코드

Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations

https://github.com/yz93/Learn-to-Interpret-Atari-Agents

공식 코드

Learn to Interpret Atari Agents

https://github.com/yzqin/dexmv-sim

공식 코드

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos

https://github.com/yzyly1992/glosofarid

공식 코드

GloSoFarID: Global multispectral dataset for Solar Farm IDentification in satellite imagery

https://github.com/zachwooddoughty/emnlp2018-causal

공식 코드

Challenges of Using Text Classifiers for Causal Inference

https://github.com/zahradbozorgi/whentotreat

공식 코드

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

https://github.com/zalandoresearch/pytorch-ts

공식 코드

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

https://github.com/zaparolicunha/stl_surrogate

공식 코드

On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations

https://github.com/zarahall/fairness-prms

공식 코드

Guiding LLM Decision-Making with Fairness Reward Models

https://github.com/zavalab/JuliaBox

공식 코드

A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters

https://github.com/zaza0209/dirl

공식 코드

Doubly Inhomogeneous Reinforcement Learning

https://github.com/zcchenvy/CIL-DDQN

공식 코드

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

https://github.com/zch-yu/epic-affordance-annotation

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Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos

https://github.com/zdhnarsil/distributional-gflownets

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Distributional GFlowNets with Quantile Flows

https://github.com/zealscott/ecf

공식 코드

Towards Explainable Collaborative Filtering with Taste Clusters Learning

https://github.com/zefang-liu/AutoBnB

공식 코드

Multi-Agent Collaboration in Incident Response with Large Language Models

https://github.com/zefang-liu/InvAgent

공식 코드

InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains

https://github.com/zehuanzhang/Neural_Dropout_Search

공식 코드

Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA

https://github.com/zengshx777/Double-Rouble-Representation-Learning

공식 코드

Double Robust Representation Learning for Counterfactual Prediction

https://github.com/zexusun/oilca-neurips23

공식 코드

Offline Imitation Learning with Variational Counterfactual Reasoning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.