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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/linfunster/pp-til

공식 코드

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning

https://github.com/lingfeng158/mxplainer

공식 코드

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents

https://github.com/linkedin/TE2Rules

공식 코드

TE2Rules: Explaining Tree Ensembles using Rules

https://github.com/linxf208/hinite

공식 코드

Estimating Treatment Effects Under Heterogeneous Interference

https://github.com/linzh92/DeepICF

공식 코드

Deep Item-based Collaborative Filtering for Top-N Recommendation

https://github.com/lionelblonde/liayn-pytorch

공식 코드

Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning

https://github.com/lionelblonde/sam-tf

공식 코드

Sample-Efficient Imitation Learning via Generative Adversarial Nets

https://github.com/lironui/A2-FPN

공식 코드

A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

https://github.com/lironui/FPN-MHA

공식 코드

A2-FPN for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

https://github.com/liruiluo/nsrl-vision-pub

공식 코드

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations

https://github.com/liruiw/GA-DDPG

공식 코드

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds

https://github.com/liuhc0428/med-pmc

공식 코드

Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm

https://github.com/liule66/SE-SGformer

공식 코드

Self-Explainable Graph Transformer for Link Sign Prediction

https://github.com/liupei101/mirel

공식 코드

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation

https://github.com/liuxhym/adapmen

공식 코드

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement

https://github.com/liuxueyi/reasonplan

공식 코드

ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving

https://github.com/liuzhenchang/uav_cooperative_search

공식 코드

Heterogeneous Unmanned Aerial Vehicles Cooperative Search Approach for Complex Environments

https://github.com/lixingqiao/xai-icu

공식 코드

XAI for In-hospital Mortality Prediction via Multimodal ICU Data

https://github.com/liyheng/GPO

공식 코드

Guided Policy Optimization under Partial Observability

https://github.com/liyichen1998/bootstrapdagger-mftplp

공식 코드

Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms

https://github.com/liziniu/ilwsd

공식 코드

Theoretical Analysis of Offline Imitation With Supplementary Dataset

https://github.com/lkaesberg/decision-protocols

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Voting or Consensus? Decision-Making in Multi-Agent Debate

https://github.com/lkpengcs/syntumoranalyzer

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Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation

https://github.com/llimllib/ckmeans

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Towards the automated large-scale reconstruction of past road networks from historical maps

https://github.com/lmzintgraf/DeepVis-PredDiff

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Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

https://github.com/lmzintgraf/gp_pref_elicit

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Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

https://github.com/loadingbyte/timexplain

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timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers

https://github.com/lobiaminor/bpo_challenge_gdrl

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Automated decision-making for dynamic task assignment at scale

https://github.com/locuslab/differentiable-mpc

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Differentiable MPC for End-to-end Planning and Control

https://github.com/logan-stapleton/strategic-instrumental-variable-regression

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Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses

https://github.com/lokhande-vishnu/FairALM

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FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret

https://github.com/lokol5579/DiffLight-release

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DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

https://github.com/longkangli/pfss-il

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Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning

https://github.com/lorenzochicchi/spectralnns_for_input_relevance

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Automatic Input Feature Relevance via Spectral Neural Networks

https://github.com/lostxine/crossway_diffusion

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Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

https://github.com/lovelymimola/mat-based-ss-sei

공식 코드

Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training

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