SOTAVerified

Decision Making

Papers

Showing 526550 of 12311 papers

TitleStatusHype
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