SOTAVerified

Decision Making

Papers

Showing 651700 of 12311 papers

TitleStatusHype
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentCode1
Improving Recommendation Fairness via Data AugmentationCode1
Distributional GFlowNets with Quantile FlowsCode1
The Wisdom of Hindsight Makes Language Models Better Instruction FollowersCode1
A SWAT-based Reinforcement Learning Framework for Crop ManagementCode1
A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface WatersCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Variational Information Pursuit for Interpretable PredictionsCode1
NeuRI: Diversifying DNN Generation via Inductive Rule InferenceCode1
LaMPP: Language Models as Probabilistic Priors for Perception and ActionCode1
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness GuaranteesCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion ModelsCode1
Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loadsCode1
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World ModellingCode1
Hematoxylin and eosin stained oral squamous cell carcinoma histological images datasetCode1
Policy Pre-training for Autonomous Driving via Self-supervised Geometric ModelingCode1
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image ClassificationCode1
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous NavigationCode1
Transformer in Transformer as Backbone for Deep Reinforcement LearningCode1
Risk-Sensitive Policy with Distributional Reinforcement LearningCode1
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model PerspectiveCode1
Cognitive Accident Prediction in Driving Scenes: A Multimodality BenchmarkCode1
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural NetworksCode1
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systemsCode1
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode1
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement LearningCode1
Reinforcement Learning and Tree Search Methods for the Unit Commitment ProblemCode1
Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormersCode1
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement LearningCode1
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement LearningCode1
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial TrainingCode1
How Crucial is Transformer in Decision Transformer?Code1
Masked Autoencoding for Scalable and Generalizable Decision MakingCode1
UniMASK: Unified Inference in Sequential Decision ProblemsCode1
Do graph neural networks learn traditional jet substructure?Code1
Towards Data-Driven Offline Simulations for Online Reinforcement LearningCode1
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic DataCode1
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous DrivingCode1
Fair and Optimal Classification via Post-ProcessingCode1
CAMANet: Class Activation Map Guided Attention Network for Radiology Report GenerationCode1
Towards Versatile Embodied NavigationCode1
Beyond calibration: estimating the grouping loss of modern neural networksCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationshipsCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Pareto Set Learning for Expensive Multi-Objective OptimizationCode1
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based EnvironmentsCode1
Phantom -- A RL-driven multi-agent framework to model complex systemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified