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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/zeyutang/decoupleobjectionable

공식 코드

Procedural Fairness Through Decoupling Objectionable Data Generating Components

https://github.com/zeyutang/tierbalancing

공식 코드

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors

https://github.com/zhanglab-deepneurocoglab/worm

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Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory

https://github.com/zhangleye/BridgeSpan-DQN

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Economic span selection of bridge based on deep reinforcement learning

https://github.com/zhangry868/S2VGD

공식 코드

Learning Structural Weight Uncertainty for Sequential Decision-Making

https://github.com/zhangxiaoyu11/OmiEmbed

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OmiEmbed: a unified multi-task deep learning framework for multi-omics data

https://github.com/zhangxiaoyu11/OmiVAE

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Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification

https://github.com/zhangzx-sjtu/LANTERN-NeurIPS-2019

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Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling

https://github.com/zhaohaoru/federated-clustering-of-bandits

공식 코드

Federated Online Clustering of Bandits

https://github.com/zhaohengyin/EfficientImitate

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Planning for Sample Efficient Imitation Learning

https://github.com/zhaohengyin/irgail_example

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Cross Domain Robot Imitation with Invariant Representation

https://github.com/zhaowei-wang-nlp/divscene

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DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects

https://github.com/zhaoyi11/tcrl

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Simplified Temporal Consistency Reinforcement Learning

https://github.com/zhaoyizhou1123/mbrcsl

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Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning

https://github.com/zhaoyj21/fcg

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Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting

https://github.com/zhaozh10/ChatCAD

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ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

https://github.com/zhejz/carla-roach

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End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

https://github.com/zheng0428/more_

공식 코드

MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces

https://github.com/zhenghuazx/BayesianLRPolicySearch

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Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control

https://github.com/zhenghuazx/vrer_policy_optimization

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Variance Reduction based Partial Trajectory Reuse to Accelerate Policy Gradient Optimization

https://github.com/zhengtongxu/leto

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LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization

https://github.com/zhengtongxu/vilp

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VILP: Imitation Learning with Latent Video Planning

https://github.com/zhengyjo/cfair

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Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation

https://github.com/zhengzhang37/lecodu

공식 코드

Learning to Complement and to Defer to Multiple Users

https://github.com/zhenhuan-yang/minimaxfairauc

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Minimax AUC Fairness: Efficient Algorithm with Provable Convergence

https://github.com/zhenwang9102/X-MedRELA

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Rationalizing Medical Relation Prediction from Corpus-level Statistics

https://github.com/zhenxianglance/medagent-cdr-agent

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CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents

https://github.com/zhenzhang-li/mpox-aism

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Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox

https://github.com/zhiqinma/surrogate_data_based_machine_learning

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Learning from the past: predicting critical transitions with machine learning trained on surrogates of historical data

https://github.com/zhitao-he/simucourt

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AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

https://github.com/zhiweiuu/secs

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Concordance and the Smallest Covering Set of Preference Orderings

https://github.com/zhiyuan-ning/GenerativeFL

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FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization

https://github.com/zhourunlong/reflect-rl

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Reflect-RL: Two-Player Online RL Fine-Tuning for LMs

https://github.com/zhu-xlab/so2sat-pop

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So2Sat POP -- A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale

https://github.com/zhymma/tool-mvr

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Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning

https://github.com/zibrahim/KD-OP

공식 코드

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

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