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Decision Making Under Uncertainty

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Showing 1–50 of 263 papers

TitleStatusHype
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
Neur2SP: Neural Two-Stage Stochastic ProgrammingCode1
Uncertainty Quantification for Image-based Traffic Prediction across CitiesCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
An empirical evaluation of active inference in multi-armed banditsCode1
Emulation of physical processes with EmukitCode1
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar ImageryCode1
Comparing Exploration-Exploitation Strategies of LLMs and Humans: Insights from Standard Multi-armed Bandit TasksCode1
jsdp: a Java Stochastic DP LibraryCode1
A friendly introduction to triangular transportCode1
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal ConstraintsCode1
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
Logically-Constrained Reinforcement LearningCode1
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction GuaranteesCode1
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis TreatmentCode1
Certified Reinforcement Learning with Logic GuidanceCode1
Collective Intelligence in Human-AI Teams A Bayesian Theory of Mind ApproachCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Bayesian Optimization of Risk MeasuresCode1
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process—0
Gamifying the Vehicle Routing Problem with Stochastic Requests—0
A Survey of Knowledge-based Sequential Decision Making under Uncertainty—0
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
Algorithmic Social Intervention—0
A Distributionally Robust Boosting Algorithm—0
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty—0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—0
A knapsack for collective decision-making—0
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management—0
Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis—0
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty—0
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits—0
The Gittins Index: A Design Principle for Decision-Making Under Uncertainty—0
A Proposal to Extend Expected Utility in a Quantum Probabilistic Framework—0
Active Inference for Energy Control and Planning in Smart Buildings and Communities—0
A Generalized Probability Framework to Model Economic Agents' Decisions Under Uncertainty—0
Competitive caching with machine learned advice—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures—0
Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms—0
Cognitive Model Priors for Predicting Human Decisions—0
Boltzmann Exploration Done Right—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
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