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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/irisstone/bestLDS

공식 코드

Spectral learning of Bernoulli linear dynamical systems models

https://github.com/irmlma/mobility-simulation-cdpm

공식 코드

Synthetic location trajectory generation using categorical diffusion models

https://github.com/irom-lab/PAC-Imitation

공식 코드

Generalization Guarantees for Imitation Learning

https://github.com/irom-lab/performance-limits

공식 코드

Fundamental Limits for Sensor-Based Robot Control

https://github.com/irom-princeton/factored-scaling-curves

공식 코드

Guiding Data Collection via Factored Scaling Curves

https://github.com/isabelcachola/mimic-proxy

공식 코드

Faithful and Plausible Explanations of Medical Code Predictions

https://github.com/isdling/predicttcl

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Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning

https://github.com/ise-uiuc/neuri-artifact

공식 코드

NeuRI: Diversifying DNN Generation via Inductive Rule Inference

https://github.com/iskandor/snd

공식 코드

Self-supervised network distillation: an effective approach to exploration in sparse reward environments

https://github.com/isotlaboratory/ml4vrp

공식 코드

On Statistical Learning of Branch and Bound for Vehicle Routing Optimization

https://github.com/ispc-lab/marl4ad

공식 코드

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

https://github.com/itaishufaro/bitsandbandits

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On Bits and Bandits: Quantifying the Regret-Information Trade-off

https://github.com/itay1itzhak/instructedtobias

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Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias

https://github.com/itm-kitware/llm-alignable-dm

공식 코드

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain

https://github.com/ito-rafael/once-for-all-2

공식 코드

OFA$^2$: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search

https://github.com/iurteaga/bandits

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Sequential Monte Carlo Bandits

https://github.com/iurteaga/gp_ts_nlp

공식 코드

Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking

https://github.com/ivanbravi/ShadowingAgentForGVGAI

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Shallow decision-making analysis in General Video Game Playing

https://github.com/ivy-dl/memory

공식 코드

End-to-End Egospheric Spatial Memory

https://github.com/ixa-ehu/antidote-casimedicos

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HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine

https://github.com/jaabmar/kernel-test-bias

공식 코드

Detecting critical treatment effect bias in small subgroups

https://github.com/jaayala/risk_aware_contextual_bandit

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Risk-Aware Continuous Control with Neural Contextual Bandits

https://github.com/jabhinav/GO-DICE

공식 코드

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation

https://github.com/jacklinkk/torchgrl

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Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

https://github.com/jacobgil/pytorch-grad-cam

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KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA

https://github.com/jacr13/maad

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Mimicking Better by Matching the Approximate Action Distribution

https://github.com/jaearly/miltimeseriesclassification

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Inherently Interpretable Time Series Classification via Multiple Instance Learning

https://github.com/jaewoopudding/gta

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GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning

https://github.com/jajajang/sparse

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PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

https://github.com/jakegrigsby/cc-afbc

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A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets

https://github.com/jakegrigsby/deep_control

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A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets

https://github.com/jakegrigsby/super_sac

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A Closer Look at Advantage-Filtered Behavioral Cloning in High-Noise Datasets

https://github.com/jakobbossek/oneshot

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One-Shot Decision-Making with and without Surrogates

https://github.com/jakobraymaekers/woe2.0

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Weight-of-evidence 2.0 with shrinkage and spline-binning

https://github.com/jameslu01/tdnode

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Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE

https://github.com/jannerm/diffuser

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Planning with Diffusion for Flexible Behavior Synthesis

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