SOTAVerified

Decision Making

Papers

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Showing 6651–6700 of 12311 papers

TitleStatusHype
Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control—0
Optimal preference satisfaction for conflict-free joint decisions—0
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization—0
Optimal Response Initiation: Why Recent Experience Matters—0
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach—0
Optimal scheduling strategy for networked estimation with energy harvesting—0
Optimal Sensing via Multi-armed Bandit Relaxations in Mixed Observability Domains—0
Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach—0
Optimal sequential decision making with probabilistic digital twins—0
Optimal simulation-based Bayesian decisions—0
Optimal stopping and divestment timing under scenario ambiguity and learning—0
Optimal Stopping under Model Ambiguity: a Time-Consistent Equilibrium Approach—0
Optimal Team Economic Decisions in Counter-Strike—0
Optimal Tracking in Prediction with Expert Advice—0
Optimal trajectory planning meets network-level routing: Integrated control framework for emerging mobility systems—0
Optimal Transport-Assisted Risk-Sensitive Q-Learning—0
SPOT: A framework for selection of prototypes using optimal transport—0
Efficient Data-Driven Optimization with Noisy Data—0
Optimal Value of Information in Graphical Models—0
Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function—0
Optimising Game Tactics for Football—0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems—0
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football—0
Optimistic MLE -- A Generic Model-based Algorithm for Partially Observable Sequential Decision Making—0
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes—0
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games—0
Optimization for Infrastructure Cyber-Physical Systems—0
Optimization of anemia treatment in hemodialysis patients via reinforcement learning—0
Optimization of Multi-Factor Model in Quantitative Trading Based On Reinforcement Learning—0
Optimization of the location and design of urban green spaces—0
Optimization problems with low SWaP tactical Computing—0
Optimizations for Decision Making and Planning in Description Logic Dynamic Knowledge Bases—0
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming—0
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment—0
Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration—0
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface—0
Optimized Gated Deep Learning Architectures for Sensor Fusion—0
Optimized Monte Carlo Tree Search for Enhanced Decision Making in the FrozenLake Environment—0
Optimized Pre-Processing for Discrimination Prevention—0
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process—0
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork—0
Optimizing Binary Decision Diagrams with MaxSAT for classification—0
Optimizing CO_2 Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making—0
Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning—0
Optimizing Estimators of Squared Calibration Errors in Classification—0
Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning—0
Optimizing Memory Mapping Using Deep Reinforcement Learning—0
Optimizing Multi-Gateway LoRaWAN via Cloud-Edge Collaboration and Knowledge Distillation—0
Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified