SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7676–7700 of 12311 papers

TitleStatusHype
Prune Responsibly—0
Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-Making with Inverse Reinforcement Learning—0
Pseudo Dataset Generation for Out-of-Domain Multi-Camera View Recommendation—0
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition—0
Reinforcement Learning and its Connections with Neuroscience and Psychology—0
Time Perception: A Review on Psychological, Computational and Robotic Models—0
Psychological model of the investor and manager behavior in risk—0
Public Goods Games in Disease Evolution and Spread—0
Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs—0
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains—0
Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos—0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning—0
Pure Exploration under Mediators' Feedback—0
Pure Exploration with Structured Preference Feedback—0
PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments—0
pymoo: Multi-objective Optimization in Python—0
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems—0
Pyreal: A Framework for Interpretable ML Explanations—0
QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network—0
Q-Cogni: An Integrated Causal Reinforcement Learning Framework—0
QComp: A QSAR-Based Data Completion Framework for Drug Discovery—0
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine—0
QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting—0
Q-greedyUCB: a New Exploration Policy for Adaptive and Resource-efficient Scheduling—0
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified