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Decision Making

Papers

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Showing 4901–4950 of 12311 papers

TitleStatusHype
Goal-Driven Context-Aware Next Service Recommendation for Mashup Composition—0
GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction—0
Goal-Oriented Time-Series Forecasting: Foundation Framework Design—0
Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems—0
Goal Randomization for Playing Text-based Games without a Reward Function—0
Goal Seeking Quadratic Unconstrained Binary Optimization—0
Going from a Representative Agent to Counterfactuals in Combinatorial Choice—0
Going public: the role of public participation approaches in commercial AI labs—0
GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration—0
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making—0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
Good Data Is All Imitation Learning Needs—0
Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector—0
GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events—0
GPT-4V Explorations: Mining Autonomous Driving—0
GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment—0
GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection—0
GPT in Data Science: A Practical Exploration of Model Selection—0
GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems—0
GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees—0
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm—0
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning—0
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization—0
Illuminating Salient Contributions in Neuron Activation with Attribution Equilibrium—0
Gradient Optimization for Single-State RMDPs—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
High Granular Operator Spaces, and Less-Contaminated General Rough Mereologies—0
Graph AI in Medicine—0
Graph Attention-based Reinforcement Learning for Trajectory Design and Resource Assignment in Multi-UAV Assisted Communication—0
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas—0
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility—0
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images—0
Graph-Based Prediction Models for Data Debiasing—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs—0
Graph Classification Gaussian Processes via Spectral Features—0
Graph Enabled Cross-Domain Knowledge Transfer—0
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction—0
Graphical Models for Decision-Making: Integrating Causality and Game Theory—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Graph learning in robotics: a survey—0
Graph Neural Networks for Multi-Robot Active Information Acquisition—0
Operational risk quantification of power grids using graph neural network surrogates of the DC OPF—0
Graph Neural Thompson Sampling—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Graph Q-Learning for Combinatorial Optimization—0
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing—0
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective—0
Graph Reinforcement Learning for Power Grids: A Comprehensive Survey—0
Graph-Structures Matching for Review Relevance Identification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified