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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/oaraque/moral-foundations

공식 코드

MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction

https://github.com/obiyoag/evi-cem

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Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis

https://github.com/oceanypt/TOA

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Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration

https://github.com/oceanypt/coldqa-tta

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Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study

https://github.com/oceanypt/multi-source-tta

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Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering

https://github.com/oddwang/procedural-fairness-relationship

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Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning

https://github.com/ogarreche/xai_feature_selection

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XAI-based Feature Selection for Improved Network Intrusion Detection Systems

https://github.com/ogroth/geeco

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Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives

https://github.com/olivesgatech/explanatory-paradigms

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Explanatory Paradigms in Neural Networks

https://github.com/olivesgatech/introspective-learning

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Introspective Learning : A Two-Stage Approach for Inference in Neural Networks

https://github.com/olivierjeunen/confounding-consequences-2023

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Offline Recommender System Evaluation under Unobserved Confounding

https://github.com/olivierjeunen/delta-ope-recsys-2024

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$Δ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies

https://github.com/olivierjeunen/learnt-metrics-kdd-2024

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Learning Metrics that Maximise Power for Accelerated A/B-Tests

https://github.com/olivierjeunen/multivariate-policy-learning-recsys-2024

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Multi-Objective Recommendation via Multivariate Policy Learning

https://github.com/ollie-hulme/ergodicity-breaking-choice-experiment

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Ergodicity-breaking reveals time optimal decision making in humans

https://github.com/omarbahri/sets

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Shapelet-Based Counterfactual Explanations for Multivariate Time Series

https://github.com/omidMemari/superhumn-fairness

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Superhuman Fairness

https://github.com/ondrejba/discrete_abstractions

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Learning Discrete State Abstractions With Deep Variational Inference

https://github.com/onlytailei/carla_cil_pytorch

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Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective

https://github.com/onlytailei/gym_ped_sim

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Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

https://github.com/onurbil/TENT

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TENT: Tensorized Encoder Transformer for Temperature Forecasting

https://github.com/openai/Video-Pre-Training

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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

https://github.com/openai/procgen

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Differentiable Tree Search Network

https://github.com/openbmb/chatdev

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ChatDev: Communicative Agents for Software Development

https://github.com/openbmb/proagent

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ProAgent: From Robotic Process Automation to Agentic Process Automation

https://github.com/opencausalab/cello

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CELLO: Causal Evaluation of Large Vision-Language Models

https://github.com/opendilab/LightZero

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LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

https://github.com/opendilab/ace

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ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency

https://github.com/opendrivelab/ppgeo

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Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling

https://github.com/opengvlab/chartast

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ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning

https://github.com/openrl-lab/diversepolicies

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Diverse Policies Converge in Reward-free Markov Decision Processe

https://github.com/optimal-pse-lab/humbo

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Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems

https://github.com/orcax/LOGER

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Faithfully Explainable Recommendation via Neural Logic Reasoning

https://github.com/orcax/PGPR

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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

https://github.com/oscarclivio/pwshap

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PWSHAP: A Path-Wise Explanation Model for Targeted Variables

https://github.com/oscarhuangwind/drl-transformer-simtoreal-navigation

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Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation

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