SOTAVerified

Decision Making

Papers

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Showing 7951–8000 of 12311 papers

TitleStatusHype
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations—0
An Offline Deep Reinforcement Learning for Maintenance Decision-Making—0
Designed to Cooperate: A Kant-Inspired Ethic of Machine-to-Machine Cooperation—0
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence—0
Explainable Machine Larning for liver transplantationCode1
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models—0
Reinforcement Learning for Quantitative Trading—0
A Sociotechnical View of Algorithmic Fairness—0
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving—0
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing—0
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic DecodingCode0
Why Do We Click: Visual Impression-aware News RecommendationCode1
Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)—0
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement LearningCode2
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
MCTS Based Agents for Multistage Single-Player Card Game—0
The f-Divergence Reinforcement Learning Framework—0
Feasibility study of urban flood mapping using traffic signs for route optimization—0
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
Optimal Decision Making in High-Throughput Virtual Screening Pipelines—0
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning—0
Active Learning for Argument Strength EstimationCode0
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances—0
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations—0
On Optimal Robustness to Adversarial Corruption in Online Decision Problems—0
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural NetworksCode1
Deep Policies for Online Bipartite Matching: A Reinforcement Learning ApproachCode1
Learning offline: memory replay in biological and artificial reinforcement learning—0
Early and Revocable Time Series Classification—0
Off-line approximate dynamic programming for the vehicle routing problem with a highly variable customer basis and stochastic demands—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
Vaccine allocation policy optimization and budget sharing mechanism using Thompson samplingCode0
Optimal Team Economic Decisions in Counter-Strike—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Assisted Learning for Organizations with Limited Imbalanced Data—0
POI Alias Discovery in Delivery Addresses using User Locations—0
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark LocalizationCode1
Algorithmic Fairness Verification with Graphical ModelsCode0
Learning to be Fair: A Consequentialist Approach to Equitable Decision-MakingCode0
Fairness Maximization among Offline Agents in Online-Matching Markets—0
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision—0
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping—0
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Load Balancing in Compute Clusters with Delayed FeedbackCode0
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU—0
Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified