SOTAVerified

Decision Making

Papers

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Showing 9051–9075 of 12311 papers

TitleStatusHype
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection—0
Reinforcement Learning for Freight Booking Control Problems—0
Beyond traditional assumptions in fair machine learning—0
The Behavioral Economics of Intrapersonal Conflict: A Critical Assessment—0
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
A Taxonomy of Explainable Bayesian Networks—0
Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis—0
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges—0
Detecting discriminatory risk through data annotation based on Bayesian inferences—0
On the Interpretability of Deep Learning Based Models for Knowledge Tracing—0
Statistical guided-waves-based SHM via stochastic non-parametric time series models—0
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
A fusion method for multi-valued data—0
Cognitive Perspectives on Context-based Decisions and Explanations—0
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
BF++: a language for general-purpose program synthesisCode0
Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms—0
Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified