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Decision Making Under Uncertainty

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Showing 151–175 of 263 papers

TitleStatusHype
Information Directed Sampling for Linear Partial Monitoring—0
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Large-scale optimization with the primal-dual column generation method—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions—0
Learning Successor Features with Distributed Hebbian Temporal Memory—0
Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time—0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize—0
Legion: Best-First Concolic Testing—0
Linear Stochastic Bandits over a Bit-Constrained Channel—0
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation—0
Local-Global Learning of Interpretable Control Policies: The Interface between MPC and Reinforcement Learning—0
Macro-Action-Based Deep Multi-Agent Reinforcement Learning—0
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability—0
Map Space Belief Prediction for Manipulation-Enhanced Mapping—0
Measures of Variability for Risk-averse Policy Gradient—0
Modeling Boundedly Rational Agents with Latent Inference Budgets—0
Modelling Dynamic Interactions between Relevance Dimensions—0
Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards—0
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models—0
Natural Language Generation enhances human decision-making with uncertain information—0
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees—0
(Non-)Commutative Aggregation—0
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