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Decision Making Under Uncertainty

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TitleStatusHype
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
Variational Inference for Data-Efficient Model Learning in POMDPs—0
Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models—0
Wasserstein Distributionally Robust Regret Optimization—0
What Are the Odds? Improving the foundations of Statistical Model Checking—0
Words or Numbers? How Framing Uncertainties Affects Risk Assessment and Decision-Making—0
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations—0
Evaluating Bayesian Model Visualisations—0
EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure—0
Evolutionary Optimization for Decision Making under Uncertainty—0
EVOLvE: Evaluating and Optimizing LLMs For Exploration—0
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models—0
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-sum Objectives—0
Explainable Finite-Memory Policies for Partially Observable Markov Decision Processes—0
Expressions of Anxiety in Political Texts—0
Fair Decision-making Under Uncertainty—0
Fair Secretaries with Unfair Predictions—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality—0
Fast Empirical Scenarios—0
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards—0
Functional Clustering of Discount Functions for Behavioral Investor Profiling—0
Group-Fair Online Allocation in Continuous Time—0
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans—0
Hierarchical Neuro-Symbolic Decision Transformer—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
Improving Existing Fault Recovery Policies—0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning—0
Information and Multi-Sensor Coordination—0
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