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Decision Making

Papers

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Showing 10351–10400 of 12311 papers

TitleStatusHype
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge—0
Estimation of Bounds on Potential Outcomes For Decision Making—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Context-Aware Online Adaptation of Mixed Reality Interfaces—0
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
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
Recurrent neural network based decision support system—0
Deep Q-Network for Angry BirdsCode0
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for PythonCode0
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification—0
Silas: High Performance, Explainable and Verifiable Machine Learning—0
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksCode0
Towards Understanding of Medical Randomized Controlled Trials by Conclusion GenerationCode0
Blood lactate concentration prediction in critical care patients: handling missing values—0
AI Assisted Annotator using Reinforcement Learning—0
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement LearningCode0
A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy—0
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures—0
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction—0
Decision Automation for Electric Power Network Recovery—0
Affordable Uplift: Supervised Randomization in Controlled ExperimentsCode0
A Personalized Data-to-Text Support Tool for Cancer Patients—0
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems—0
The Choice Function Framework for Online Policy Improvement—0
Revisiting the Binary Linearization Technique for Surface Realization—0
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving—0
A Dynamic Strategy Coach for Effective Negotiation—0
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points—0
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations—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
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Counterfactual States for Atari Agents via Generative Deep Learning—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Actor-Critic Approach for Temporal Predictive Clustering—0
PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics—0
LEX-GAN: Layered Explainable Rumor Detector Based on Generative Adversarial Networks—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
Learning with Protection: Rejection of Suspicious Samples under Adversarial Environment—0
Generalizing Reinforcement Learning to Unseen Actions—0
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL—0
Antifragile and Robust Heteroscedastic Bayesian Optimisation—0
ASYNCHRONOUS MULTI-AGENT GENERATIVE ADVERSARIAL IMITATION LEARNING—0
Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified