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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/ilia-mahrooghi/multi-armed-bandits-with-missing-outcome

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Multi-armed Bandits with Missing Outcome

https://github.com/illdepence/hyperpie

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HyperPIE: Hyperparameter Information Extraction from Scientific Publications

https://github.com/imTurkey/Market-Making-with-Deep-Reinforcement-Learning-from-Limit-Order-Books

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Market Making with Deep Reinforcement Learning from Limit Order Books

https://github.com/imed-lab/vaff-net

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Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning

https://github.com/imitrob/imitrob_dataset_code

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Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators

https://github.com/imop-lab/defn-pytorch

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DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object Segmentation

https://github.com/imperial-qore/cilp

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CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments

https://github.com/improbable-ai/human-guided-exploration

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Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

https://github.com/in-vivo-group/generative-biology

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Computing in the Life Sciences: From Early Algorithms to Modern AI

https://github.com/inesgomes/db-patterns

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Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary

https://github.com/inkiinki/dkmil

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Data-driven Knowledge Fusion for Deep Multi-instance Learning

https://github.com/inmo-jang/GRAPE

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Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System

https://github.com/inmo-jang/space-simulator

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SPACE: A Python-based Simulator for Evaluating Decentralized Multi-Robot Task Allocation Algorithms

https://github.com/innoisys/EPU-CNN

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E Pluribus Unum Interpretable Convolutional Neural Networks

https://github.com/inouye-lab/pcf

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Counterfactual Fairness by Combining Factual and Counterfactual Predictions

https://github.com/inspirai/wilderness-scavenger

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WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments

https://github.com/instadeepai/Mava

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Mava: a research library for distributed multi-agent reinforcement learning in JAX

https://github.com/instadeepai/jumanji

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Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

https://github.com/inteligensi/dsapomdps.jl

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Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty

https://github.com/intelligence-csd-auth-gr/Interpretable-Predictive-Maintenance/tree/master/VisioRed%20Demo

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VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance

https://github.com/intelligence-csd-auth-gr/LionLearn/tree/master/LioNets_V2

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LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information

https://github.com/intelligence-csd-auth-gr/LionLearn/tree/master/LionForests

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Conclusive Local Interpretation Rules for Random Forests

https://github.com/intelligence-csd-auth-gr/LionLearn/tree/master/LionForests_Multi

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Local Multi-Label Explanations for Random Forest

https://github.com/intelligent-reliable-autonomous-systems/gcrs-expert-abstractions

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Learning with Expert Abstractions for Efficient Multi-Task Continuous Control

https://github.com/intuitive-robots/ml-cur

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Curriculum-Based Imitation of Versatile Skills

https://github.com/ioanabica/invariant-causal-imitation-learning

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Invariant Causal Imitation Learning for Generalizable Policies

https://github.com/ioannislivieris/grad_cam_siamese

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Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM

https://github.com/iodmitri/gradelab

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Grade Score: Quantifying LLM Performance in Option Selection

https://github.com/ioseff-i/DepressionX

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DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment

https://github.com/iosifidisvasileios/AdaFair

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AdaFair: Cumulative Fairness Adaptive Boosting

https://github.com/ipadli/cmd

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Configurable Mirror Descent: Towards a Unification of Decision Making

https://github.com/iqtlabs/snowglobe

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Open-Ended Wargames with Large Language Models

https://github.com/ir-lab/LanguagePolicies

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Language-Conditioned Imitation Learning for Robot Manipulation Tasks

https://github.com/irenehere/econnli

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EconNLI: Evaluating Large Language Models on Economics Reasoning

https://github.com/irina-b1/KAN_TS

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Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification

https://github.com/irisdominguez/dsap

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DSAP: Analyzing Bias Through Demographic Comparison of Datasets

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