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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/jieerbobo/trustguard

공식 코드

TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support

https://github.com/jil016/xor-smc

공식 코드

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees

https://github.com/jim-berend/semanticlens

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Mechanistic understanding and validation of large AI models with SemanticLens

https://github.com/jinanzou/astock

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Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

https://github.com/jinghanzhang1998/ratt

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RATT: A Thought Structure for Coherent and Correct LLM Reasoning

https://github.com/jingliang-duan/dsac-t

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Distributional Soft Actor-Critic with Three Refinements

https://github.com/jingliang-duan/dsac-v2

공식 코드

Distributional Soft Actor-Critic with Three Refinements

https://github.com/jinglong0407/cuberec

공식 코드

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation

https://github.com/jingxiaoyi/pare

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Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

https://github.com/jingzhang617/uncertaintyestimation

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Dense Uncertainty Estimation

https://github.com/jinhaoduan/uprop

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UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making

https://github.com/jinzhuyu/multiplex_recon

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Reconstructing Sparse Multiplex Networks with Application to Covert Networks

https://github.com/jizhi-zhang/billp

공식 코드

Large Language Models are Learnable Planners for Long-Term Recommendation

https://github.com/jjbrophy47/tree_influence

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Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees

https://github.com/jlcmoore/valueaggregation

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Intuitions of Compromise: Utilitarianism vs. Contractualism

https://github.com/jli0117/ehrmgan

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Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications

https://github.com/jmaasch/ld3

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Local Causal Discovery for Structural Evidence of Direct Discrimination

https://github.com/joebaumann/fair-prediction-based-decision-making

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Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency

https://github.com/joebaumann/fairnesslab

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A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs

https://github.com/joelniklaus/lawinstruct

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LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain

https://github.com/john-vastola/noether-neurreps24

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Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems

https://github.com/johnMinelli/CoordinatedQMIX

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CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making

https://github.com/johnlyu2/z3alpha

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Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis

https://github.com/jointentropysearch/jointentropysearch

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Joint Entropy Search for Maximally-Informed Bayesian Optimization

https://github.com/jon--lee/aor

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Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning

https://github.com/jon-chun/llm-sota-chatbots-ethics-based-audit

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Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values

https://github.com/jonasnuesslein/cb-irl

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Case-Based Inverse Reinforcement Learning Using Temporal Coherence

https://github.com/jonathanmli/avalon-llm

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AvalonBench: Evaluating LLMs Playing the Game of Avalon

https://github.com/jongseongchae/rime

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Robust Imitation Learning against Variations in Environment Dynamics

https://github.com/joniali/loss-aversively-fair-classification

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Loss-Aversively Fair Classification

https://github.com/joonaspu/video-game-behavioural-cloning

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Benchmarking End-to-End Behavioural Cloning on Video Games

https://github.com/jorgeerrz/finite_time_allocation_paper

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Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision making

https://github.com/joyjitchatterjee/scientometricreview-ai

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Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future

https://github.com/jozielamp/carna

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CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams

https://github.com/jpmorganchase/Phantom

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Phantom -- A RL-driven multi-agent framework to model complex systems

https://github.com/jprivera44/EscalAItion

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Escalation Risks from Language Models in Military and Diplomatic Decision-Making

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.