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Decision Making Under Uncertainty

Papers

Showing 101150 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
jsdp: a Java Stochastic DP LibraryCode1
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability0
Multi-armed Bandit Learning on a GraphCode0
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits0
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning0
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits0
Hindsight Learning for MDPs with Exogenous InputsCode0
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes0
Thompson Sampling Achieves O(T) Regret in Linear Quadratic Control0
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar ImageryCode1
Causal Explanations for Sequential Decision Making Under Uncertainty0
Neur2SP: Neural Two-Stage Stochastic ProgrammingCode1
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes0
Stochastic Conservative Contextual Linear Bandits0
A Factor-Based Framework for Decision-Making Competency Self-Assessment0
Linear Stochastic Bandits over a Bit-Constrained Channel0
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search0
Evaluating Bayesian Model Visualisations0
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic0
Regular Decision Processes for Grid Worlds0
Emulation of physical processes with EmukitCode1
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks0
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty0
Deceptive Decision-Making Under Uncertainty0
Learning-to-defer for sequential medical decision-making under uncertainty0
Risk-Averse Decision Making Under Uncertainty0
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