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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/Jinfeng-Xu/AlignGroup

공식 코드

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation

https://github.com/JinraeKim/ParametrisedConvexApproximators.jl

공식 코드

Parameterized Convex Universal Approximators for Decision-Making Problems

https://github.com/JohnNay/datafsm

공식 코드

Data-Driven Dynamic Decision Models

https://github.com/Kaixhin/imitation-learning

공식 코드

A Pragmatic Look at Deep Imitation Learning

https://github.com/KaiyangZhou/vsumm-reinforce

공식 코드

Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward

https://github.com/Kami-code/dexart-release

공식 코드

DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

https://github.com/KamyarGh/rl_swiss

공식 코드

A Divergence Minimization Perspective on Imitation Learning Methods

https://github.com/Karim-53/Reinforcement-Learning-Malaria-Control-KDDCup-2019

공식 코드

Policy Learning for Malaria Control

https://github.com/Karlmyh/LDP-Contextual-MAB

공식 코드

Locally Private Nonparametric Contextual Multi-armed Bandits

https://github.com/Khrylx/Transform2Act

공식 코드

Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design

https://github.com/KunalP117/DL_RI

공식 코드

Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification

https://github.com/LANL-Bioinformatics/EDGE

공식 코드

EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts

https://github.com/LCAS/deep_rl_for_swarms

공식 코드

Deep Reinforcement Learning for Swarm Systems

https://github.com/LJanys/Mental_Health_Abortions_Risky_Behaviors

공식 코드

Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions

https://github.com/LMGroup-KyotoU/phase-amplitude-reduction-based-imitation-learning

공식 코드

Phase-Amplitude Reduction-Based Imitation Learning

https://github.com/LeaMarion/quantum-enhanceable-deep-rl

공식 코드

Quantum enhancements for deep reinforcement learning in large spaces

https://github.com/LeapLabTHU/ExpeL

공식 코드

ExpeL: LLM Agents Are Experiential Learners

https://github.com/Learning-and-Intelligent-Systems/predicators_behavior

공식 코드

Learning Efficient Abstract Planning Models that Choose What to Predict

https://github.com/LeilaZa/HyperParameter-Optimization

공식 코드

Search Algorithms for Automated Hyper-Parameter Tuning

https://github.com/Li-Yuetao/ActiveSplat

공식 코드

ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting

https://github.com/Lww007/Text-Atari-Agents

공식 코드

TextAtari: 100K Frames Game Playing with Language Agents

https://github.com/M-Nauta/ProtoTree

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Neural Prototype Trees for Interpretable Fine-grained Image Recognition

https://github.com/MECLabTUDA/VoxelSceneGraph

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Voxel Scene Graph for Intracranial Hemorrhage

https://github.com/MIT-REALM/lyge

공식 코드

Learning to Stabilize High-dimensional Unknown Systems Using Lyapunov-guided Exploration

https://github.com/ML-EDM/ML-EDM

공식 코드

Open challenges for Machine Learning based Early Decision-Making research

https://github.com/MLD3/OfflineRL_ModelSelection

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Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings

https://github.com/MLD3/RL-Set-Valued-Policy

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Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies

https://github.com/MahdiNouraie/Stable-Stability-Selection

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On the Selection Stability of Stability Selection and Its Applications

https://github.com/MahdiNouraie/stabplot

공식 코드

On the Selection Stability of Stability Selection and Its Applications

https://github.com/MahmoudRabea13/IdentiFace

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IdentiFace : A VGG Based Multimodal Facial Biometric System

https://github.com/MajidMoghadam2006/RL-frenet-trajectory-planning-in-CARLA

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An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

https://github.com/MajidMoghadam2006/deepcars-reinforcement-learning

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A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement Learning

https://github.com/MathiasKraus/FinancialDeepLearning

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Decision support from financial disclosures with deep neural networks and transfer learning

https://github.com/Max-Fu/icrt

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In-Context Imitation Learning via Next-Token Prediction

https://github.com/MeLL-UFF/tuning_sentiment

공식 코드

Sentiment analysis in tweets: an assessment study from classical to modern text representation models

https://github.com/MeherBhaskar/OptiMindTune

공식 코드

OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization

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