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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://github.com/alniyatrui/cafe-ad

공식 코드

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving

https://github.com/alphanumericslab/ecg-image-kit

공식 코드

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization

https://github.com/alrhub/imc

공식 코드

Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills

https://github.com/alrhub/mail

공식 코드

MaIL: Improving Imitation Learning with Mamba

https://github.com/alstn12088/adaptive-teacher

공식 코드

Adaptive teachers for amortized samplers

https://github.com/altundasbatu/HybridNet_IROS2022

공식 코드

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation

https://github.com/amamalak/xai_fidelity_assessment_cnn_geo

공식 코드

Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience

https://github.com/amaurygouverneur/optimal_measurement_times_for_particle_filtering

공식 코드

Optimal Intermittent Particle Filter

https://github.com/amazon-research/sc2qa-dril

공식 코드

Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning

https://github.com/aminabyaneh/scds-contractive-imitation

공식 코드

Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery

https://github.com/aminabyaneh/stable-imitation-policy

공식 코드

Globally Stable Neural Imitation Policies

https://github.com/aminegha/streampred

공식 코드

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach

https://github.com/amiranas/minerl_imitation_learning

공식 코드

Scaling Imitation Learning in Minecraft

https://github.com/amirarsalan90/TabFairGAN

공식 코드

TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks

https://github.com/amirhk/mace

공식 코드

Model-Agnostic Counterfactual Explanations for Consequential Decisions

https://github.com/amirhosseinzlf/starla

공식 코드

A Search-Based Testing Approach for Deep Reinforcement Learning Agents

https://github.com/ammar-n-abbas/drl-based-decision-support

공식 코드

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies

https://github.com/amodaresi/debias_w_saliencies

공식 코드

Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities

https://github.com/amoskalev/ginvariance

공식 코드

On genuine invariance learning without weight-tying

https://github.com/amrgomaaelhady/cataractadaptsurgrobot

공식 코드

Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning

https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros

공식 코드

Fast and robust curve skeletonization for real-world elongated objects

https://github.com/anamtahir7/partially-observable-load-balancer

공식 코드

Load Balancing in Compute Clusters with Delayed Feedback

https://github.com/ananya-joshi/ijcai23_supplemental

공식 코드

Computationally Assisted Quality Control for Public Health Data Streams

https://github.com/anavaldi/fairness_nsga

공식 코드

How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees

https://github.com/ancorso/llmwargaming

공식 코드

Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations

https://github.com/andreArtelt/ActionableCounterfactualsConvexProgramming

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Convex optimization for actionable \& plausible counterfactual explanations

https://github.com/andreArtelt/ContrastiveExplanationsForModelAdaptations

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Contrastive Explanations for Explaining Model Adaptations

https://github.com/andreArtelt/FairnessRobustnessContrastingExplanations

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Evaluating Robustness of Counterfactual Explanations

https://github.com/andreArtelt/efficient_computation_counterfactuals_lvq

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Efficient computation of counterfactual explanations of LVQ models

https://github.com/andreareds/towardsuncertaintyawareworkloadprediction

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Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning

https://github.com/andreareds/uncertaintyawareworkloadprediction

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Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning

https://github.com/andreartelt/diversesemifactualsreject

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"Even if ..." -- Diverse Semifactual Explanations of Reject

https://github.com/andreartelt/ensembleconsistentexplanations

공식 코드

One Explanation to Rule them All -- Ensemble Consistent Explanations

https://github.com/andreartelt/localmodelagnosticexplanationreject

공식 코드

Model Agnostic Local Explanations of Reject

https://github.com/andreaskrug/ann-topomaps

공식 코드

Visualizing Deep Neural Networks with Topographic Activation Maps

https://github.com/andrehe02/go-probe

공식 코드

Understanding Game-Playing Agents with Natural Language Annotations

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