SOTAVerified

Decision Making

Papers

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Showing 9201–9250 of 12311 papers

TitleStatusHype
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving—0
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making—0
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms—0
Improving Human-AI Collaboration With Descriptions of AI Behavior—0
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Improving Human Sequential Decision-Making with Reinforcement Learning—0
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models—0
Improving International Climate Policy via Mutually Conditional Binding Commitments—0
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability—0
Improving multidimensional projection quality with user-specific metrics and optimal scaling—0
Improving non-deterministic uncertainty modelling in Industry 4.0 scheduling—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times—0
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms—0
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons—0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems—0
How to "Improve" Prediction Using Behavior Modification—0
Improving Recommendation Systems with User Personality Inferred from Product Reviews—0
Improving Retrospective Language Agents via Joint Policy Gradient Optimization—0
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images—0
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training—0
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness—0
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts—0
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility—0
Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation—0
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models—0
Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ENSY)—0
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing—0
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions—0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic—0
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges—0
In a One-Bit Rush: Low-Latency Wireless Spectrum Monitoring with Binary Sensor Arrays—0
Inaugural MOASEI Competition at AAMAS'2025: A Technical Report—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—0
Incentivising cooperation by rewarding the weakest member—0
InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games—0
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence—0
Incident-Specific Cyber Insurance—0
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation—0
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs—0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases—0
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning—0
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control—0
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency—0
Enhancing Profitability and Investor Confidence through Interpretable AI Models for Investment Decisions—0
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning—0
Incremental cluster validity index-guided online learning for performance and robustness to presentation order—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified