SOTAVerified

Decision Making

Papers

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Showing 10451–10500 of 12311 papers

TitleStatusHype
Monitizer: Automating Design and Evaluation of Neural Network Monitors—0
Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems—0
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing—0
Monitoring and Proactive Management of QoS Levels in Pervasive Applications—0
Monitoring Machine Learning Forecasts for Platform Data Streams—0
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients—0
Monotone additive statistics—0
Monotonic classification: an overview on algorithms, performance measures and data sets—0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data—0
Monte Carlo Sampling for Regret Minimization in Extensive Games—0
Monte-Carlo Tree Search for Constrained POMDPs—0
Monthly GDP nowcasting with Machine Learning and Unstructured Data—0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents—0
Moral Agency in Silico: Exploring Free Will in Large Language Models—0
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories—0
Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems—0
Moral Dilemmas for Moral Machines—0
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify—0
More Causes Less Effect: Destructive Interference in Decision Making—0
More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction—0
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems—0
Mostly Beneficial Clustering: Aggregating Data for Operational Decision Making—0
Motif-guided Time Series Counterfactual Explanations—0
A motion-based compression algorithm for resource-constrained video camera traps—0
Motion Forecasting for Autonomous Vehicles: A Survey—0
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions—0
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective—0
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems—0
MoViT: Memorizing Vision Transformers for Medical Image Analysis—0
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation—0
MPC-Inspired Neural Network Policies for Sequential Decision Making—0
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs—0
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making—0
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents—0
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal—0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries—0
Multi-Agent Active Search using Detection and Location Uncertainty—0
Multi-Agent Actor-Critic with Harmonic Annealing Pruning for Dynamic Spectrum Access Systems—0
Multi-Agent Algorithmic Recourse—0
Multi-agent Application System in Office Collaboration Scenarios—0
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances—0
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games—0
Large-Scale Multi-Agent Deep FBSDEs—0
DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein SequencesCode0
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and ChallengesCode0
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature SelectionCode0
Long-Term Fairness in Sequential Multi-Agent Selection with Positive ReinforcementCode0
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language ModelsCode0
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small DisjunctsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified