SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9901–9950 of 12311 papers

TitleStatusHype
Learning with Protection: Rejection of Suspicious Samples under Adversarial Environment—0
Learn to Allocate Resources in Vehicular Networks—0
Learn to Compress CSI and Allocate Resources in Vehicular Networks—0
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer—0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize—0
Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios—0
Legal Summarisation through LLMs: The PRODIGIT Project—0
Legion: Best-First Concolic Testing—0
LEKA:LLM-Enhanced Knowledge Augmentation—0
Lemons and Learning: Adult and Juvenile Free-Ranging Dogs Navigate Aversive Foraging Challenges Differently—0
Lensless-camera based machine learning for image classification—0
Less is more: AI Decision-Making using Dynamic Deep Neural Networks for Short-Term Stock Index Prediction—0
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction—0
Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources—0
Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning—0
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses—0
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control—0
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring—0
Let Community Rules Be Reflected in Online Content Moderation—0
Let Humanoids Hike! Integrative Skill Development on Complex Trails—0
Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework—0
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks—0
Le trading algorithmique—0
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping—0
Levels of AI Agents: from Rules to Large Language Models—0
Levels of explainable artificial intelligence for human-aligned conversational explanations—0
Leveraging Causal Inference for Explainable Automatic Program Repair—0
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks—0
Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles—0
Leveraging Fundamental Analysis for Stock Trend Prediction for Profit—0
Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning—0
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System—0
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle—0
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions—0
Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception—0
Leveraging Large Language Models for Collective Decision-Making—0
Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment—0
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs—0
Leveraging LLMs to explain DRL decisions for transparent 6G network slicing—0
Leveraging Log Probabilities in Language Models to Forecast Future Events—0
Leveraging Machine Learning to Detect Data Curation Activities—0
Leveraging Multi-AI Agents for Cross-Domain Knowledge Discovery—0
Leveraging Offline Data in Linear Latent Bandits—0
Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis—0
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation—0
Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns—0
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification—0
Leveraging Semi-Supervised Learning for Fairness using Neural Networks—0
Leveraging the Dynamics of Leadership in Group Recommendation Systems—0
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified