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Decision Making

Papers

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Showing 10301–10350 of 12311 papers

TitleStatusHype
Deep Learning for Predicting Dynamic Uncertain Opinions in Network DataCode0
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge—0
Context-Aware Online Adaptation of Mixed Reality Interfaces—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Estimation of Bounds on Potential Outcomes For Decision Making—0
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy LearningCode1
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction—0
Toward a Computational Theory of Evidence-Based Reasoning for Instructable Cognitive Agents—0
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression—0
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting—0
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations—0
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators—0
Recurrent neural network based decision support system—0
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks—0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis—0
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for PythonCode0
Deep Q-Network for Angry BirdsCode0
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification—0
Towards Understanding of Medical Randomized Controlled Trials by Conclusion GenerationCode0
Silas: High Performance, Explainable and Verifiable Machine Learning—0
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksCode0
Blood lactate concentration prediction in critical care patients: handling missing values—0
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures—0
A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy—0
AI Assisted Annotator using Reinforcement Learning—0
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement LearningCode0
A Personalized Data-to-Text Support Tool for Cancer Patients—0
Revisiting the Binary Linearization Technique for Surface Realization—0
The Choice Function Framework for Online Policy Improvement—0
Decision Automation for Electric Power Network Recovery—0
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction—0
Affordable Uplift: Supervised Randomization in Controlled ExperimentsCode0
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems—0
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations—0
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points—0
A Dynamic Strategy Coach for Effective Negotiation—0
Library network, a possible path to explainable neural networks—0
Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning—0
Counterfactual States for Atari Agents via Generative Deep Learning—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—0
LEX-GAN: Layered Explainable Rumor Detector Based on Generative Adversarial Networks—0
Antifragile and Robust Heteroscedastic Bayesian Optimisation—0
PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL—0
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift—0
Generalizing Reinforcement Learning to Unseen Actions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified