SOTAVerified

Decision Making

Papers

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Showing 9876–9900 of 12311 papers

TitleStatusHype
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction—0
Learning to Recover from Failures using Memory—0
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning—0
Learning to Represent Individual Differences for Choice Decision Making—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Learning to Schedule Online Tasks with Bandit Feedback—0
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning—0
Learning to Simulate: Generative Metamodeling via Quantile Regression—0
Learning to Solve Optimization Problems with Hard Linear Constraints—0
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming—0
Learning to Track: Online Multi-Object Tracking by Decision Making—0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation—0
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning—0
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System—0
Learning under selective labels in the presence of expert consistency—0
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Learning Value of Information towards Joint Communication and Control in 6G V2X—0
A Framework for Learning to Request Rich and Contextually Useful Information from Humans—0
Learning When to Advise Human Decision Makers—0
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control—0
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations—0
Learning with Delayed Payoffs in Population Games using Kullback-Leibler Divergence Regularization—0
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified