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Decision Making Under Uncertainty

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Showing 201–250 of 263 papers

TitleStatusHype
Probabilistic Demand Forecasting with Graph Neural Networks—0
Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty—0
Probability Tools for Sequential Random Projection—0
Proofs for the New Definitions in Financial Markets—0
Q-ARDNS-Multi: A Multi-Agent Quantum Reinforcement Learning Framework with Meta-Cognitive Adaptation for Complex 3D Environments—0
Quantum Circuit Components for Cognitive Decision-Making—0
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence—0
Quantum-like Structure in Multidimensional Relevance Judgements—0
Rao-Blackwellized POMDP Planning—0
Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints—0
Regular Decision Processes for Grid Worlds—0
Regularized Q-Learning with Linear Function Approximation—0
Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System—0
Risk-Averse Decision Making Under Uncertainty—0
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty—0
Risk Minimization, Regret Minimization and Progressive Hedging Algorithms—0
On strategies for risk management and decision making under uncertainty shared across multiple fields—0
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty—0
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning—0
Safe Policy Improvement by Minimizing Robust Baseline Regret—0
Safe POMDP Online Planning via Shielding—0
Sample Complexity Bounds for Iterative Stochastic Policy Optimization—0
Second Order Methods for Bandit Optimization and Control—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Semantic Parsing with Combinatory Categorial Grammars—0
Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems—0
Sequential sampling without comparison to boundary through model-free reinforcement learning—0
Sequential Stochastic Optimization in Separable Learning Environments—0
Set risk measures—0
Simplification of Risk Averse POMDPs with Performance Guarantees—0
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid PlanningCode0
Equal Opportunity in Online Classification with Partial FeedbackCode0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Sequential Bayesian Experimental Design for Implicit Models via Mutual InformationCode0
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
Natural-Parameter Networks: A Class of Probabilistic Neural NetworksCode0
Conditional Bayesian QuadratureCode0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
Optimal Learning for Structured BanditsCode0
Differentiable Distributionally Robust Optimization LayersCode0
Solving Long-run Average Reward Robust MDPs via Stochastic GamesCode0
Factorized Machine Self-Confidence for Decision-Making AgentsCode0
Non-monotonic Resource Utilization in the Bandits with Knapsacks ProblemCode0
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costsCode0
Probabilistic Logic Programming with Beta-Distributed Random VariablesCode0
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation BenchmarksCode0
Decision-Focused Forecasting: A Differentiable Multistage Optimisation ArchitectureCode0
Calibration tests beyond classificationCode0
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO AlgorithmCode0
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