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Decision Making

Papers

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Showing 5301–5350 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
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers—0
Improving Emergency Response during Hurricane Season using Computer Vision—0
Improving ensemble extreme precipitation forecasts using generative artificial intelligence—0
Improving Event Time Prediction by Learning to Partition the Event Time Space—0
Improving Existing Fault Recovery Policies—0
Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles—0
Improving Fairness and Privacy in Selection Problems—0
Improving Fairness in LLMs Through Testing-Time Adversaries—0
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving—0
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making—0
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms—0
Improving Human-AI Collaboration With Descriptions of AI Behavior—0
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Improving Human Sequential Decision-Making with Reinforcement Learning—0
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models—0
Improving International Climate Policy via Mutually Conditional Binding Commitments—0
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability—0
Improving multidimensional projection quality with user-specific metrics and optimal scaling—0
Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times—0
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified