SOTAVerified

Decision Making Under Uncertainty

Papers

Showing 150 of 263 papers

TitleStatusHype
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal ConstraintsCode1
A friendly introduction to triangular transportCode1
Logically-Constrained Reinforcement LearningCode1
Bayesian Optimization of Risk MeasuresCode1
An empirical evaluation of active inference in multi-armed banditsCode1
Neur2SP: Neural Two-Stage Stochastic ProgrammingCode1
Uncertainty Quantification for Image-based Traffic Prediction across CitiesCode1
jsdp: a Java Stochastic DP LibraryCode1
Certified Reinforcement Learning with Logic GuidanceCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
Emulation of physical processes with EmukitCode1
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar ImageryCode1
Collective Intelligence in Human-AI Teams A Bayesian Theory of Mind ApproachCode1
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction GuaranteesCode1
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis TreatmentCode1
Probabilistic Logic Programming with Beta-Distributed Random VariablesCode0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
Non-monotonic Resource Utilization in the Bandits with Knapsacks ProblemCode0
Optimal Learning for Structured BanditsCode0
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costsCode0
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
Minimax-Bayes Reinforcement LearningCode0
microPhantom: Playing microRTS under uncertainty and chaosCode0
Multi-armed Bandit Learning on a GraphCode0
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO AlgorithmCode0
Measurement Simplification in ρ-POMDP with Performance GuaranteesCode0
Natural-Parameter Networks: A Class of Probabilistic Neural NetworksCode0
Factorized Machine Self-Confidence for Decision-Making AgentsCode0
A Probabilistic Model of the Bitcoin BlockchainCode0
High-dimensional forecasting with known knowns and known unknownsCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Equal Opportunity in Online Classification with Partial FeedbackCode0
Calibrating Deep Convolutional Gaussian ProcessesCode0
Calibration tests beyond classificationCode0
Hindsight Learning for MDPs with Exogenous InputsCode0
Differentiable Distributionally Robust Optimization LayersCode0
Decision-Focused Forecasting: A Differentiable Multistage Optimisation ArchitectureCode0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid PlanningCode0
Crafting desirable climate trajectories with RL explored socio-environmental simulationsCode0
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