SOTAVerified

Decision Making

Papers

Showing 501550 of 12311 papers

TitleStatusHype
Interpretable by Design: Learning Predictors by Composing Interpretable QueriesCode1
Interpretable Prototype-based Graph Information BottleneckCode1
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple BenchmarkCode1
Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic BuildingsCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply ChainsCode1
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase TrainingCode1
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World ModelsCode1
Contrastive Variational Reinforcement Learning for Complex ObservationsCode1
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective ApproachCode1
ComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization UpdatesCode1
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving ManeuversCode1
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
Computationally Assisted Quality Control for Public Health Data StreamsCode1
ComBiNet: Compact Convolutional Bayesian Neural Network for Image SegmentationCode1
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement LearningCode1
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley ValuesCode1
Collaborative Decision Making Using Action SuggestionsCode1
Collective Intelligence in Human-AI Teams A Bayesian Theory of Mind ApproachCode1
Modelling uncertainty in coupled electricity and gas systems -- is it worth the effort?Code1
Concept-level Debugging of Part-Prototype NetworksCode1
Controlling Neural Networks with Rule RepresentationsCode1
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company CorrelationsCode1
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued PoliciesCode1
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision TreesCode1
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning PoliciesCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
CoCoG: Controllable Visual Stimuli Generation based on Human Concept RepresentationsCode1
ADaPT: As-Needed Decomposition and Planning with Language ModelsCode1
AdaPlanner: Adaptive Planning from Feedback with Language ModelsCode1
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired TransformerCode1
CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principlesCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain FeedbackCode1
CFGPT: Chinese Financial Assistant with Large Language ModelCode1
GLAMOUR: Graph Learning over Macromolecule RepresentationsCode1
CELLO: Causal Evaluation of Large Vision-Language ModelsCode1
Causal thinking for decision making on Electronic Health Records: why and howCode1
Certified Reinforcement Learning with Logic GuidanceCode1
Causal Discovery with Language Models as Imperfect ExpertsCode1
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and ActingCode1
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in CoqCode1
ChessGPT: Bridging Policy Learning and Language ModelingCode1
Cognitive Accident Prediction in Driving Scenes: A Multimodality BenchmarkCode1
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?Code1
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI GymCode1
CAMul: Calibrated and Accurate Multi-view Time-Series ForecastingCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Can Learned Optimization Make Reinforcement Learning Less Difficult?Code1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified