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Decision Making Under Uncertainty

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Showing 51–100 of 263 papers

TitleStatusHype
Hierarchical Neuro-Symbolic Decision Transformer—0
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence—0
Map Space Belief Prediction for Manipulation-Enhanced Mapping—0
Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Words or Numbers? How Framing Uncertainties Affects Risk Assessment and Decision-Making—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
Online Clustering of Dueling Bandits—0
A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process—0
Online MDP with Transition Prototypes: A Robust Adaptive Approach—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Explainable Finite-Memory Policies for Partially Observable Markov Decision Processes—0
Fair Secretaries with Unfair Predictions—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Crafting desirable climate trajectories with RL explored socio-environmental simulationsCode0
EVOLvE: Evaluating and Optimizing LLMs For Exploration—0
Functional Clustering of Discount Functions for Behavioral Investor Profiling—0
Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance—0
Rao-Blackwellized POMDP Planning—0
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
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
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