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Decision Making

Papers

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Showing 8076–8100 of 12311 papers

TitleStatusHype
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