SOTAVerified

Decision Making

Papers

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Showing 6101–6150 of 12311 papers

TitleStatusHype
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank—0
Cross-Domain Shopping and Stock Trend Analysis—0
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information—0
An active learning method for solving competitive multi-agent decision-making and control problemsCode0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow—0
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT—0
Security and Interpretability in Automotive Systems—0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
Neighboring state-based RL Exploration—0
Decision-making and control with diffractive optical networksCode0
Online Statistical Inference in Decision-Making with Matrix Context—0
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation—0
Towards Reasoning in Large Language Models: A SurveyCode2
Scheduling with Predictions—0
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding—0
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension—0
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise—0
Cognitive Accident Prediction in Driving Scenes: A Multimodality BenchmarkCode1
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions—0
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach—0
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control SystemsCode0
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural NetworksCode1
Predicting Autonomous Vehicle Collision Injury Severity Levels for Ethical Decision Making and Path Planning—0
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language—0
Provable Fairness for Neural Network Models using Formal Verification—0
Constitutional AI: Harmlessness from AI FeedbackCode4
Explainable Machine Learning for Hydrocarbon Prospect Risking—0
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning ArchitectureCode0
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls—0
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer—0
Reinforcement Learning in Credit Scoring and Underwriting—0
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systemsCode1
Active Inference and Reinforcement Learning: A unified inference on continuous state and action spaces under partial observability—0
A scalable framework for annotating photovoltaic cell defects in electroluminescence images—0
Invariant Lipschitz Bandits: A Side Observation Approach—0
SAIF: Sparse Adversarial and Imperceptible Attack Framework—0
Policy Adaptation from Foundation Model Feedback—0
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode1
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality—0
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario—0
Multi-Target Decision Making under Conditions of Severe Uncertainty—0
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis—0
Explanations Can Reduce Overreliance on AI Systems During Decision-Making—0
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map—0
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods—0
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting—0
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels—0
Reinforced Approximate Exploratory Data Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified