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Decision Making

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코드

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

https://bitbucket.org/ZimingLi/dg-irl-aaai2019

공식 코드

Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

https://bitbucket.org/elisaferrari/fbi-loss-code

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Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss

https://bitbucket.org/fafz/stein-icp

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Stein ICP for Uncertainty Estimation in Point Cloud Matching

https://bitbucket.org/rahuldeo/ecgai

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Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery

https://bitbucket.org/smartan117/sgim-yumi-simu

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Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy

https://bitbucket.org/sodhi/topsistool

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A Simplified Description of Fuzzy TOPSIS

https://git.openi.org.cn/liusc/3-6-liusicen-multi-modal-pretrain

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Multimodal data matters: language model pre-training over structured and unstructured electronic health records

https://git.sr.ht/~hyphaebeast/challenging-xai

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Challenging common interpretability assumptions in feature attribution explanations

https://github.com/0x1DA9430/Decision-Transformer-vs-Decision-Mamba

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Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games

https://github.com/2664139264/sequential_rl

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Constructing Non-Markovian Decision Process via History Aggregator

https://github.com/2toinf/DecisionNCE

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DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

https://github.com/3dperceptionlab/visual-wetlandbirds

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Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos

https://github.com/41enthusiast/ST-SACLF-ver1.1

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ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification

https://github.com/42jaylonw/rrc2021threewolves

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Real-World Dexterous Object Manipulation based Deep Reinforcement Learning

https://github.com/5teffen/advice

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AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation

https://github.com/6zrg/quantitative-statistics-of-fccm

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Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

https://github.com/99Catherine99/peer-induced-fairness

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Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing

https://github.com/AAIR-lab/AAIR-JEDAI

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JEDAI: A System for Skill-Aligned Explainable Robot Planning

https://github.com/ACIL-Group/iCVI-toolbox

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iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices

https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-RAG

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Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models

https://github.com/AIandGlobalDevelopmentLab/Africa-Rural-Urban-Map

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Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery

https://github.com/ALRhub/X_IL

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X-IL: Exploring the Design Space of Imitation Learning Policies

https://github.com/ATHdevs/Auto-PCOS

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Leveraging AI for Automatic Classification of PCOS Using Ultrasound Imaging

https://github.com/AVSLab/bsk_rl

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Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey

https://github.com/AaltoPML/Zero-Shot-Assistance-in-Sequential-Decision-Problems

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Zero-Shot Assistance in Sequential Decision Problems

https://github.com/AdaCompNUS/magic

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MAGIC: Learning Macro-Actions for Online POMDP Planning

https://github.com/AdrianArnaiz/fair-shap

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Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values

https://github.com/Ago3/structured_explanations_make_moderators_faster

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Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster

https://github.com/Aipura/LLM-ARK

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Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs

https://github.com/Aladoro/domain-robust-visual-il

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Domain-Robust Visual Imitation Learning with Mutual Information Constraints

https://github.com/AleDinve/aneurysm_gnn

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Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction

https://github.com/AlexandreChenu/dcil

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Divide & Conquer Imitation Learning

https://github.com/AlgTUDelft/B-FELSA

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Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty

https://github.com/Algolzw/SPAC-Deformable-Registration

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

https://github.com/AliBeikmohammadi/TA-Explore

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Human-Inspired Framework to Accelerate Reinforcement Learning

https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/LevOCR

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Levenshtein OCR

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