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Decision Making Under Uncertainty

Papers

Showing 101125 of 263 papers

TitleStatusHype
Collective Intelligence in Human-AI Teams A Bayesian Theory of Mind ApproachCode1
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models0
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging0
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty0
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize0
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep ClassifiersCode0
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costsCode0
Decision-Making Under Uncertainty: Beyond Probabilities0
Minimax-Bayes Reinforcement LearningCode0
Utilization of domain knowledge to improve POMDP belief estimation0
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints0
Quantum Circuit Components for Cognitive Decision-Making0
Practical Bandits: An Industry Perspective0
Fair Decision-making Under Uncertainty0
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty0
Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO AlgorithmCode0
Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions0
Bayesian Optimization with Conformal Prediction SetsCode1
Calibration tests beyond classificationCode0
Non-monotonic Resource Utilization in the Bandits with Knapsacks ProblemCode0
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability0
jsdp: a Java Stochastic DP LibraryCode1
Multi-armed Bandit Learning on a GraphCode0
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits0
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