SOTAVerified

Decision Making

Papers

Showing 44014425 of 12311 papers

TitleStatusHype
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning0
A logic-based decision support system for the diagnosis of headache disorders according to the ICHD-3 international classification0
A Decentralized Approach towards Responsible AI in Social Ecosystems0
Data-driven Protection of Transformers, Phase Angle Regulators, and Transmission Lines in Interconnected Power Systems0
Data-driven project planning: An integrated network learning and constraint relaxation approach in favor of scheduling0
Asymptotic Security by Model-based Incident Handlers for Markov Decision Processes0
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements0
Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert0
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making0
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users0
Data-driven Policy on Feasibility Determination for the Train Shunting Problem0
Data-Driven Online Decision Making with Costly Information Acquisition0
Asymptotic Consistency of Loss-Calibrated Variational Bayes0
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service0
Data-Driven Offline Decision-Making via Invariant Representation Learning0
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize0
Almost optimal manipulation of a pair of alternatives0
A debiasing technique for place-based algorithmic patrol management0
A cognitive process approach to modeling gap acceptance in overtaking0
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making0
Data-driven Modeling for Distribution Grids Under Partial Observability0
Data-driven modeling for different stages of pandemic response0
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models0
Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression0
Asymmetric return rates and wealth distribution influenced by the introduction of technical analysis into a behavioral agent based model0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified