SOTAVerified

Decision Making

Papers

Showing 72517300 of 12311 papers

TitleStatusHype
PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation0
PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks0
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison0
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis0
PAC Learnability of Scenario Decision-Making Algorithms: Necessary and Sufficient Conditions0
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness0
A Joint Planning and Learning Framework for Human-Aided Decision-Making0
Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals0
PAC Reinforcement Learning with Rich Observations0
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images0
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction0
Painting the black box white: experimental findings from applying XAI to an ECG reading setting0
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All0
Pair-Relationship Modeling for Latent Fingerprint Recognition0
Pandemic Control, Game Theory and Machine Learning0
Pandemic model with data-driven phase detection, a study using COVID-19 data0
Paradoxes in Fair Computer-Aided Decision Making0
Parallel bandit architecture based on laser chaos for reinforcement learning0
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting0
Parallelizing Contextual Bandits0
Parallelizing Thompson Sampling0
Parallel photonic accelerator for decision making using optical spatiotemporal chaos0
Parallel, Self Organizing, Consensus Neural Networks0
Parameter Averaging for Feature Ranking0
Parameter estimation in softmax decision-making models with linear objective functions0
Parameterized Explanations for Investor / Company Matching0
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework0
Parametrically Retargetable Decision-Makers Tend To Seek Power0
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors0
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI0
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)0
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation0
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search0
Pareto Set Learning for Multi-Objective Reinforcement Learning0
Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation0
Parkinson's Disease Detection Using Ensemble Architecture from MR Images0
Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients0
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning0
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists0
Partial-Adaptive Submodular Maximization0
Partial Law Invariance and Risk Measures0
Partially Observable Contextual Bandits with Linear Payoffs0
Partially Observable Games for Secure Autonomy0
Partially Observable Stochastic Games with Neural Perception Mechanisms0
Partial-Monotone Adaptive Submodular Maximization0
Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making0
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams0
Passenger hazard perception based on EEG signals for highly automated driving vehicles0
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified