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Decision Making Under Uncertainty

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TitleStatusHype
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
A knapsack for collective decision-making—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Sequential sampling without comparison to boundary through model-free reinforcement learning—0
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-MakingCode1
Set risk measures—0
(Non-)Commutative Aggregation—0
Complexity Aversion—0
Conditional Bayesian QuadratureCode0
Differentiable Distributionally Robust Optimization LayersCode0
Simplification of Risk Averse POMDPs with Performance Guarantees—0
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Decision-Focused Forecasting: A Differentiable Multistage Optimisation ArchitectureCode0
Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System—0
What Are the Odds? Improving the foundations of Statistical Model Checking—0
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making—0
Probability Tools for Sequential Random Projection—0
Thompson Sampling in Partially Observable Contextual Bandits—0
Second Order Methods for Bandit Optimization and Control—0
Stochastic COLREGs Evaluation for Safe Navigation under Uncertainty—0
DeLLMa: Decision Making Under Uncertainty with Large Language Models—0
Partial Law Invariance and Risk Measures—0
High-dimensional forecasting with known knowns and known unknownsCode0
Regularized Q-Learning with Linear Function Approximation—0
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