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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/wbarfuss/pold

공식 코드

Modeling the effects of environmental and perceptual uncertainty using deterministic reinforcement learning dynamics with partial observability

https://github.com/wbw520/scouter

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SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition

https://github.com/weihaotan/twosome

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True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning

https://github.com/weiiguo/wireless-agent

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WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

https://github.com/wellecks/nonmonotonic_text

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Non-Monotonic Sequential Text Generation

https://github.com/wenhaomin/DiffSTG

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DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

https://github.com/wenqi006/slidegraph

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SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

https://github.com/wenqian-xing/cagebo

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Black-Box Optimization with Implicit Constraints for Public Policy

https://github.com/wensun/Imitation-Learning-from-Observation

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Provably Efficient Imitation Learning from Observation Alone

https://github.com/wenyueh/game_theory

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Game-theoretic LLM: Agent Workflow for Negotiation Games

https://github.com/wertyuilife2/bmpc

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Bootstrapped Model Predictive Control

https://github.com/wgcban/ddpm-cd

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DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection

https://github.com/wichmann-lab/error-consistency

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Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency

https://github.com/wielandbrendel/dPCA

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Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters

https://github.com/wilderlavington/improved-policy-optimization-for-online-imitation-learning

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Improved Policy Optimization for Online Imitation Learning

https://github.com/wilderlavington/target-based-surrogates-for-stochastic-optimization

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Target-based Surrogates for Stochastic Optimization

https://github.com/wildsky95/ZT-PFR

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Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

https://github.com/william-hayes/llms-biased-rl

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Large Language Models are Biased Reinforcement Learners

https://github.com/williambug/event_driven_rl

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Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

https://github.com/williamsyy/multiplesev

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Improving Decision Sparsity

https://github.com/williamyue37/attentiontuner

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Learning Memory Mechanisms for Decision Making through Demonstrations

https://github.com/williamyue37/t-dgr

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t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making

https://github.com/wilrop/distributional-dominance

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Distributional Multi-Objective Decision Making

https://github.com/windxrz/DCFR

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Algorithmic Decision Making with Conditional Fairness

https://github.com/wiseodd/laplace-bayesopt

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Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization

https://github.com/wishever/mmidr

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MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

https://github.com/wisper12933/ga-rollback

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Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent

https://github.com/wispo-pop/optimal-microgrid-configuration

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Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids

https://github.com/wjh720/QPLEX

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QPLEX: Duplex Dueling Multi-Agent Q-Learning

https://github.com/wjmaddox/online_vargp

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Conditioning Sparse Variational Gaussian Processes for Online Decision-making

https://github.com/wkiri/simcalib

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Hidden Heterogeneity: When to Choose Similarity-Based Calibration

https://github.com/wkwan7/difftori

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DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning

https://github.com/wmdataphys/UncertaintyAwareBotDetection

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Unmasking Social Bots: How Confident Are We?

https://github.com/wmgithub/fairness

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Algorithms for Fairness in Sequential Decision Making

https://github.com/wojiufukele/Graph-Structured-about-CSA

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Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion

https://github.com/woodoxen/tactics2d

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Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making

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