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Decision Making

Papers

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Showing 5301–5325 of 12311 papers

TitleStatusHype
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study—0
Implicit Multiagent Coordination at Unsignalized Intersections via Multimodal Inference Enabled by Topological Braids—0
ImPORTance -- Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency—0
Importance measures derived from random forests: characterisation and extension—0
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment—0
Importance of Self-Attention for Sentiment Analysis—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness—0
Impossibility Results in AI: A Survey—0
Improved Compression Bounds for Scenario Decision Making—0
Improved Diagnosis of Tibiofemoral Cartilage Defects on MRI Images Using Deep Learning—0
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem—0
Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network—0
A Tractable Online Learning Algorithm for the Multinomial Logit Contextual Bandit—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Improved Sparse Ising Optimization—0
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
Improved Weighted Random Forest for Classification Problems—0
Improve ROI with Causal Learning and Conformal Prediction—0
Improving a neural network model by explanation-guided training for glioma classification based on MRI data—0
Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks—0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring—0
Improving Classifier Confidence using Lossy Label-Invariant Transformations—0
Improving Clinical Predictions through Unsupervised Time Series Representation Learning—0
Improving confidence while predicting trends in temporal disease networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified