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Decision Making

Papers

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Showing 9451–9500 of 12311 papers

TitleStatusHype
Predicting Account Receivables with Machine Learning—0
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey—0
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates—0
On the Gap between Epidemiological Surveillance and Preparedness—0
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing—0
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection—0
Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural NetworksCode0
Rounded Hartley Transform: A Quasi-involution—0
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Managing caching strategies for stream reasoning with reinforcement learning—0
Fatigue Assessment using ECG and Actigraphy SensorsCode1
A Gentle Lecture Note on Filtrations in Reinforcement Learning—0
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications—0
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification—0
Game-theoretic modeling of collective decision-making during epidemicsCode0
Introductory review to quantum information retrieval—0
Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network—0
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentCode1
On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach—0
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel—0
Short-Term Reliability Evaluation of Generating Systems Using Fixed-Effort Generalized Splitting—0
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective ApproachCode1
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
QPLEX: Duplex Dueling Multi-Agent Q-LearningCode1
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version—0
Making Decisions under Model Misspecification—0
Diverse and Admissible Trajectory Prediction through Multimodal Context UnderstandingCode1
Robot-based facade spatial assembly optimizationCode0
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control—0
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviewsCode0
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision MakingCode0
Parallel, Self Organizing, Consensus Neural Networks—0
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents—0
Fairness-Aware Online PersonalizationCode0
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry—0
Towards a new Social Choice Theory—0
Random Forests for dependent dataCode1
Visual Analysis of Discrimination in Machine Learning—0
On the Use of Interpretable Machine Learning for the Management of Data Quality—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach—0
Assessing Risks of Biases in Cognitive Decision Support Systems—0
Greedy Bandits with Sampled Context—0
Do recommender systems function in the health domain: a system review—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
Proactive Tasks Management based on a Deep Learning Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified