SOTAVerified

Decision Making

Papers

Showing 53515400 of 12311 papers

TitleStatusHype
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems0
How to "Improve" Prediction Using Behavior Modification0
Improving Recommendation Systems with User Personality Inferred from Product Reviews0
Improving Retrospective Language Agents via Joint Policy Gradient Optimization0
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images0
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training0
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness0
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts0
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility0
Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation0
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models0
Improving Trip Mode Choice Modeling Using Ensemble Synthesizer (ENSY)0
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing0
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic0
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges0
In a One-Bit Rush: Low-Latency Wireless Spectrum Monitoring with Binary Sensor Arrays0
Inaugural MOASEI Competition at AAMAS'2025: A Technical Report0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality0
Incentivising cooperation by rewarding the weakest member0
InceptB: A CNN Based Classification Approach for Recognizing Traditional Bengali Games0
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence0
Incident-Specific Cyber Insurance0
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation0
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases0
Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning0
Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control0
Increasing Interpretability of Neural Networks By Approximating Human Visual Saliency0
Enhancing Profitability and Investor Confidence through Interpretable AI Models for Investment Decisions0
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning0
Incremental cluster validity index-guided online learning for performance and robustness to presentation order0
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification0
Indexing Cost Sensitive Prediction0
IndigoVX: Where Human Intelligence Meets AI for Optimal Decision Making0
Individual Calibration with Randomized Forecasting0
Individual Fairness in Hindsight0
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox0
Individual Sensing can Gain more Fitness than its Information0
Inducing anxiety in large language models can induce bias0
Inducing Functions through Reinforcement Learning without Task Specification0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation0
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning0
Inductive Inference and the Representation of Uncertainty0
Infection-responsivity of Commercial Dressings Through Halochromic Drop-casting0
Preemptive Detection and Correction of Misaligned Actions in LLM Agents0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning0
Inference for an Algorithmic Fairness-Accuracy Frontier0
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified