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Decision Making Under Uncertainty

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TitleStatusHype
Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)—0
Spreadsheet Probabilistic Programming—0
Stagewise Safe Bayesian Optimization with Gaussian Processes—0
Stein Variational Model Predictive Control—0
Stochastic COLREGs Evaluation for Safe Navigation under Uncertainty—0
Stochastic Conservative Contextual Linear Bandits—0
Stochastic Finite State Control of POMDPs with LTL Specifications—0
Structural models for policy-making: Coping with parametric uncertainty—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
rfPG: Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs—0
The Role of Entropy in Guiding a Connection Prover—0
Thompson Sampling Achieves O(T) Regret in Linear Quadratic Control—0
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes—0
Thompson Sampling in Partially Observable Contextual Bandits—0
Threshold Learning for Optimal Decision Making—0
Tight Bounds for Bandit Combinatorial Optimization—0
Time discounting under uncertainty—0
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers—0
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Sequential Decision making—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Truthful Elicitation of Imprecise Forecasts—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits—0
Utilization of domain knowledge to improve POMDP belief estimation—0
Value of structural health information in partially observable stochastic environments—0
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