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Decision Making Under Uncertainty

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TitleStatusHype
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures—0
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction GuaranteesCode1
Simplified decision making in the belief space using belief sparsification—0
Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm—0
Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models—0
Modelling Dynamic Interactions between Relevance Dimensions—0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Cognitive Model Priors for Predicting Human Decisions—0
A Distributionally Robust Boosting Algorithm—0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems—0
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming—0
A Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests—0
Automating Predictive Modeling Process using Reinforcement Learning—0
Equal Opportunity in Online Classification with Partial FeedbackCode0
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid PlanningCode0
Certified Reinforcement Learning with Logic GuidanceCode1
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty—0
A Probabilistic Model of the Bitcoin BlockchainCode0
Factorized Machine Self-Confidence for Decision-Making AgentsCode0
Probabilistic Logic Programming with Beta-Distributed Random VariablesCode0
Decision-Making with Belief Functions: a Review—0
Concentration bounds for empirical conditional value-at-risk: The unbounded case—0
Playing against Nature: causal discovery for decision making under uncertainty—0
An ontological investigation of unimaginable events—0
Stagewise Safe Bayesian Optimization with Gaussian Processes—0
Calibrating Deep Convolutional Gaussian ProcessesCode0
Variational Inference for Data-Efficient Model Learning in POMDPs—0
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards—0
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-sum Objectives—0
Algorithmic Social Intervention—0
Competitive caching with machine learned advice—0
Logically-Constrained Reinforcement LearningCode1
Novel Exploration Techniques (NETs) for Malaria Policy Interventions—0
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans—0
On Hashing-Based Approaches to Approximate DNF-Counting—0
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions—0
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces—0
Boltzmann Exploration Done Right—0
Tight Bounds for Bandit Combinatorial Optimization—0
A Proposal to Extend Expected Utility in a Quantum Probabilistic Framework—0
Threshold Learning for Optimal Decision Making—0
Natural-Parameter Networks: A Class of Probabilistic Neural NetworksCode0
Expressions of Anxiety in Political Texts—0
Construction Safety Risk Modeling and Simulation—0
Safe Policy Improvement by Minimizing Robust Baseline Regret—0
Spreadsheet Probabilistic Programming—0
Natural Language Generation enhances human decision-making with uncertain information—0
Axiomatization of the Choquet integral for 2-dimensional heterogeneous product sets—0
Optimal Sensing via Multi-armed Bandit Relaxations in Mixed Observability Domains—0
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