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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/princeton-computational-imaging/SeeingThroughFog

공식 코드

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

https://github.com/princeton-computational-imaging/ZeroScatter

공식 코드

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media

https://github.com/princeton-nlp/WebShop

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WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

https://github.com/princeton-nlp/il-scaling-in-games

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Scaling Laws for Imitation Learning in Single-Agent Games

https://github.com/princeton-nlp/tree-of-thought-llm

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Tree of Thoughts: Deliberate Problem Solving with Large Language Models

https://github.com/princeton-rl/normalising-flows-4-reinforcement-learning

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Normalizing Flows are Capable Models for RL

https://github.com/princetonvisualai/HIVE

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HIVE: Evaluating the Human Interpretability of Visual Explanations

https://github.com/priorelli/dynamic-planning

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Dynamic planning in hierarchical active inference

https://github.com/probcomp/solvingbib.jl

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Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind

https://github.com/prokomoproject/A-hybrid-model-for-day-ahead-electricity-price-forecasting-combining-fundamental-and-stochastic-mod

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A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling

https://github.com/prs-eth/lora-ensemble

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LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks

https://github.com/pszwed-ai/fcm_classifier_transformer

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Classification and Feature Transformation with Fuzzy Cognitive Maps

https://github.com/ptarling/DeepLearningFishCounting

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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

https://github.com/pterhoer/DeepFakeAnnotations

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Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

https://github.com/pterhoer/optimalmatchingconfidence

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PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition

https://github.com/ptrckhmmr/human-ai-complementarity

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Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence

https://github.com/pull-ups/PANDA

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Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games

https://github.com/pull-ups/VisEscape

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VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms

https://github.com/purewater0901/BSMPC

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Bisimulation metric for Model Predictive Control

https://github.com/pushinelee/cdp

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Conformal Depression Prediction

https://github.com/pwdemars/rl4uc

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Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem

https://github.com/pwr-inf/transfer-learning-approach-to-bicycle-sharing-systems-station-location-planning-using-openstreetmap

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Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data

https://github.com/qcri/cmdl

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Cross Modal Data Discovery over Structured and Unstructured Data Lakes

https://github.com/qcri/latent_concept_analysis

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Scaling up Discovery of Latent Concepts in Deep NLP Models

https://github.com/qianzhang20/functional-linear-regression-of-cdfs

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Functional Linear Regression of Cumulative Distribution Functions

https://github.com/qibaolian/GREN

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GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images

https://github.com/qic-ibk/ps_quantum_comm

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Machine learning for long-distance quantum communication

https://github.com/qingshufan/ga-evlru

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Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System

https://github.com/qintonguav/ParkingE2E

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ParkingE2E: Camera-based End-to-end Parking Network, from Images to Planning

https://github.com/qiongwu86/semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning

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Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning

https://github.com/qiujumin/don-rl

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Decision-making and control with diffractive optical networks

https://github.com/qiwang067/LS-Imagine

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Open-World Reinforcement Learning over Long Short-Term Imagination

https://github.com/qlilx/odgrlm

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Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images

https://github.com/qsyao/hierarchical_feature_constraint

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Adversarial Medical Image with Hierarchical Feature Hiding

https://github.com/quantumiracle/Cascading-Decision-Tree

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CDT: Cascading Decision Trees for Explainable Reinforcement Learning

https://github.com/qub-blesson/Scission

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Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks

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