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Decision Making Under Uncertainty

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Showing 51–100 of 263 papers

TitleStatusHype
A knapsack for collective decision-making—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—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
Regularized Q-Learning with Linear Function Approximation—0
High-dimensional forecasting with known knowns and known unknownsCode0
Probabilistic Demand Forecasting with Graph Neural Networks—0
"Bayesian anchoring" and the fourfold pattern of risk attitudes—0
EV-EcoSim: A grid-aware co-simulation platform for the design and optimization of electric vehicle charging infrastructure—0
Decision-Oriented Learning for Future Power System Decision-Making under Uncertainty—0
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Solving Long-run Average Reward Robust MDPs via Stochastic GamesCode0
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration—0
Modeling Boundedly Rational Agents with Latent Inference Budgets—0
Learning Successor Features with Distributed Hebbian Temporal Memory—0
Partially Observable Stochastic Games with Neural Perception Mechanisms—0
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality—0
Online POMDP Planning with Anytime Deterministic Optimality Guarantees—0
Explaining Predictive Uncertainty with Information Theoretic Shapley ValuesCode1
Safe POMDP Online Planning via Shielding—0
Measurement Simplification in ρ-POMDP with Performance GuaranteesCode0
Proofs for the New Definitions in Financial Markets—0
On strategies for risk management and decision making under uncertainty shared across multiple fields—0
Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted AveragesCode0
Bayesian Exploration Networks—0
Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis—0
Uncertainty Quantification for Image-based Traffic Prediction across CitiesCode1
On the Expressivity of Multidimensional Markov Reward—0
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards—0
Fast Empirical Scenarios—0
Point-Based Value Iteration for POMDPs with Neural Perception Mechanisms—0
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