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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/roelbouman/stormphase2

공식 코드

Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements

https://github.com/rohitkannan/dd-saa

공식 코드

Data-Driven Sample Average Approximation with Covariate Information

https://github.com/roihn/sabm

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"Guinea Pig Trials" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion

https://github.com/romsto/harp

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HARP: Hesitation-Aware Reframing in Transformer Inference Pass

https://github.com/ronaldosvieira/gym-locm

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Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play

https://github.com/rongtao-xu/awesome-llm-en

공식 코드

Advances in Embodied Navigation Using Large Language Models: A Survey

https://github.com/ronjafuchs/ice_ai

공식 코드

Personalized Dynamic Difficulty Adjustment -- Imitation Learning Meets Reinforcement Learning

https://github.com/rosanamontes/teranga.go

공식 코드

Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust

https://github.com/rose-stl-lab/pecco

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Probabilistic Symmetry for Multi-Agent Dynamics

https://github.com/rosewang2008/bridge

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Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

https://github.com/roshni714/ru_regression

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Learning from a Biased Sample

https://github.com/rothkopflab/naba

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Inverse decision-making using neural amortized Bayesian actors

https://github.com/rothkopflab/nioc-neurips

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Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs

https://github.com/rottenivy/betterbatch

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Better Batch for Deep Probabilistic Time Series Forecasting

https://github.com/royalskye/agh

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Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling

https://github.com/royf/hvil

공식 코드

Hierarchical Variational Imitation Learning of Control Programs

https://github.com/rqwang/floodgpt_prototype

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Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement

https://github.com/rrross/CutoffCalibration

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Can a calibration metric be both testable and actionable?

https://github.com/rrrussell/caugnn

공식 코드

Multivariate Time Series Forecasting with Transfer Entropy Graph

https://github.com/rsangers/explainable_perception

공식 코드

Explainability of Deep Learning models for Urban Space perception

https://github.com/rstrudel/rlbc

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Learning to combine primitive skills: A step towards versatile robotic manipulation

https://github.com/rtm2130/SPOTree

공식 코드

Decision Trees for Decision-Making under the Predict-then-Optimize Framework

https://github.com/rub-ksv/AdHominem

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Explainable Authorship Verification in Social Media via Attention-based Similarity Learning

https://github.com/rucaibox/figa

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Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

https://github.com/ruihuang1967/Deep-GRAIL

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Rate-Splitting for Intelligent Reflecting Surface-Aided Multiuser VR Streaming

https://github.com/ruijie-wang-uzh/QAGCN

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QAGCN: Answering Multi-Relation Questions via Single-Step Implicit Reasoning over Knowledge Graphs

https://github.com/ruili33/sec

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Are Human-generated Demonstrations Necessary for In-context Learning?

https://github.com/ruishengsu/cave_dsa

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CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography

https://github.com/ruixiangcui/agieval

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AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

https://github.com/ruixinhua/batm

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A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification

https://github.com/ruizheliuoa/anchored_bias_gpt2

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Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions

https://github.com/ruleminer/fi-rules4xai

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Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance

https://github.com/run-summer/bimos_bmos_basketball

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Mathematical models for off-ball scoring prediction in basketball

https://github.com/runkaizhao/liladet

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Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development

https://github.com/runtianz/boosted_cvar

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Boosted CVaR Classification

https://github.com/ruoxuanxiong/staggered_rollout_design

공식 코드

Optimal Experimental Design for Staggered Rollouts

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