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Decision Making

Papers

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Showing 8051–8100 of 12311 papers

TitleStatusHype
Decision-Making in Reinforcement Learning—0
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications—0
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem—0
Evolutionary Computation, Optimization and Learning Algorithms for Data Science—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting—0
\1 Today or \2 Tomorrow? The Answer is in Your Facebook Likes—0
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models—0
Extending choice assessments to choice functions: An algorithm for computing the natural extension—0
Towards an Integrated Performance Framework for Fire Science and Management Workflows—0
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models—0
Pathology Foundation Models—0
Cost-Effective Hallucination Detection for LLMs—0
Interpreting and learning voice commands with a Large Language Model for a robot system—0
Load Balancing in Federated Learning—0
Generalisation of Total Uncertainty in AI: A Theoretical Study—0
Metareasoning in uncertain environments: a meta-BAMDP framework—0
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models—0
Assessing Robustness of Machine Learning Models using Covariate Perturbations—0
NeuralBeta: Estimating Beta Using Deep Learning—0
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models—0
Adaptive Planning with Generative Models under Uncertainty—0
Self-Emotion Blended Dialogue Generation in Social Simulation Agents—0
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response—0
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory—0
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning—0
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction—0
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing—0
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps—0
Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study—0
Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering—0
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions—0
Evidence of conceptual mastery in the application of rules by Large Language Models—0
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization—0
Building Interval Type-2 Fuzzy Membership Function: A Deck of Cards based Co-constructive Approach—0
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control—0
An energy-efficient learning solution for the Agile Earth Observation Satellite Scheduling Problem—0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
Prior-Guided Diffusion Planning for Offline Reinforcement Learning—0
DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production—0
Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment—0
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach—0
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting—0
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study—0
How to Provably Improve Return Conditioned Supervised Learning?—0
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning—0
Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning—0
The Gittins Index: A Design Principle for Decision-Making Under Uncertainty—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified