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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/krishnamrith12/proofver

공식 코드

ProoFVer: Natural Logic Theorem Proving for Fact Verification

https://github.com/kse-eleven/makged

공식 코드

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs

https://github.com/ku-milab/pg-brainbagnet

공식 코드

Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis

https://github.com/kumarrobotics/coveragecontrol

공식 코드

LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control

https://github.com/kurtlabuw/re-diffinet

공식 코드

Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion models

https://github.com/kushalarora/quantifying_exposure_bias

공식 코드

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation

https://github.com/kusnenist/multitask_matter

공식 코드

Scalable Multi-Agent Lab Framework for Lab Optimization

https://github.com/kuvvius/speculative-rm

공식 코드

Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively

https://github.com/kvablack/ddpo-pytorch

공식 코드

Training Diffusion Models with Reinforcement Learning

https://github.com/kwangho-joshua-kim/counterfactual-prediction

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Semiparametric Counterfactual Regression

https://github.com/kwkimonline/sipm-lfr

공식 코드

Learning fair representation with a parametric integral probability metric

https://github.com/kyle8581/wma-agents

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Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

https://github.com/kztakemoto/mmllm

공식 코드

The Moral Machine Experiment on Large Language Models

https://github.com/l-Galland/MALEFIC

공식 코드

Seeing and hearing what has not been said; A multimodal client behavior classifier in Motivational Interviewing with interpretable fusion

https://github.com/lacava/fair_gp

공식 코드

Genetic programming approaches to learning fair classifiers

https://github.com/lacava/feat

공식 코드

Genetic programming approaches to learning fair classifiers

https://github.com/laichengen/mcle

공식 코드

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

https://github.com/lalithjets/domain-adaptation-in-mtl

공식 코드

Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding

https://github.com/langfengq/tree-diffusion-planner

공식 코드

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree

https://github.com/lanyavik/BAIL

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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

https://github.com/lapalap/dora

공식 코드

DORA: Exploring Outlier Representations in Deep Neural Networks

https://github.com/lapalap/invert

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Labeling Neural Representations with Inverse Recognition

https://github.com/lapisrocks/languageagenttreesearch

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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

https://github.com/larsvanderlaan/selfcalibratingconformal

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Self-Calibrating Conformal Prediction

https://github.com/lascavana/objvalprediction

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Learning optimal objective values for MILP

https://github.com/lasgroup/adaptive-constraint-learning

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Interactively Learning Preference Constraints in Linear Bandits

https://github.com/lasgroup/hpgd

공식 코드

Contextual Bilevel Reinforcement Learning for Incentive Alignment

https://github.com/lasilab/inequity-bounds

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Auditing Fairness under Unobserved Confounding

https://github.com/laurimi/npgi

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Information Gathering in Decentralized POMDPs by Policy Graph Improvement

https://github.com/lava-lab/cool-mc

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Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies

https://github.com/lava-lab/luiaard

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Robust Anytime Learning of Markov Decision Processes

https://github.com/lava-lab/ratm

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Robust Active Measuring under Model Uncertainty

https://github.com/layer6ai-labs/bnpo

공식 코드

Bayesian Nonparametrics for Offline Skill Discovery

https://github.com/layer6ai-labs/hitl-conformal-prediction

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Conformal Prediction Sets Improve Human Decision Making

https://github.com/lblaoke/rf-dlc

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Making Reliable and Flexible Decisions in Long-tailed Classification

https://github.com/lcastri/PeopleFlow

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Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments

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