SOTAVerified

Decision Making

Papers

Showing 22512300 of 12311 papers

TitleStatusHype
A survey on secure decentralized optimization and learning0
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
Multi-task Learning Approach for Intracranial Hemorrhage PrognosisCode0
AgentSimulator: An Agent-based Approach for Data-driven Business Process SimulationCode0
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models0
Self-Explainable Graph Transformer for Link Sign PredictionCode1
Evaluating Text Classification Robustness to Part-of-Speech Adversarial Examples0
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts0
Lifelong Reinforcement Learning via Neuromodulation0
Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model0
Confidence-weighted integration of human and machine judgments for superior decision-makingCode0
Capturing the Complexity of Human Strategic Decision-Making with Machine Learning0
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning0
Abstract Operations Research Modeling Using Natural Language Inputs0
NeuroPapyri: A Deep Attention Embedding Network for Handwritten Papyri Retrieval0
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments0
Agent Q: Advanced Reasoning and Learning for Autonomous AI AgentsCode4
A semantic embedding space based on large language models for modelling human beliefsCode1
Efficient Human-Object-Interaction (EHOI) Detection via Interaction Label Coding and Conditional Decision0
Value of Information and Reward Specification in Active Inference and POMDPs0
Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry0
Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications0
Attention Please: What Transformer Models Really Learn for Process PredictionCode0
Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs0
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring0
Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models0
Wireless MAC Protocol Synthesis and Optimization with Multi-Agent Distributed Reinforcement Learning0
Sequential sampling without comparison to boundary through model-free reinforcement learning0
Exploring and Learning Structure: Active Inference Approach in Navigational Agents0
Building Decision Making Models Through Language Model Regime0
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~BoundaryCode0
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in GamesCode0
Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis StrategiesCode0
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning0
Egocentric Vision Language Planning0
Meta Clustering of Neural Bandits0
Structure and Reduction of MCTS for Explainable-AI0
Modeling Transit in a Fully Integrated Agent-Based Framework: Methodology and Large-Scale Application0
Cautious Calibration in Binary ClassificationCode0
SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions0
Unleashing Artificial Cognition: Integrating Multiple AI SystemsCode1
The Data Addition DilemmaCode0
Prompt and Prejudice0
Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Towards Fully Automated Microscopy0
GAIA -- A Large Language Model for Advanced Power Dispatch0
How Well Can Vision Language Models See Image Details?0
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging0
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial0
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction0
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified