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Decision Making Under Uncertainty

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Showing 101–150 of 263 papers

TitleStatusHype
Decision Making in Non-Stationary Environments with Policy-Augmented SearchCode0
Solving Long-run Average Reward Robust MDPs via Stochastic GamesCode0
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration—0
Modeling Boundedly Rational Agents with Latent Inference Budgets—0
Learning Successor Features with Distributed Hebbian Temporal Memory—0
Partially Observable Stochastic Games with Neural Perception Mechanisms—0
Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality—0
Online POMDP Planning with Anytime Deterministic Optimality Guarantees—0
Safe POMDP Online Planning via Shielding—0
Measurement Simplification in ρ-POMDP with Performance GuaranteesCode0
Proofs for the New Definitions in Financial Markets—0
On strategies for risk management and decision making under uncertainty shared across multiple fields—0
Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted AveragesCode0
Bayesian Exploration Networks—0
Are ChatGPT and GPT-4 Good Poker Players? -- A Pre-Flop Analysis—0
On the Expressivity of Multidimensional Markov Reward—0
Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards—0
Fast Empirical Scenarios—0
Point-Based Value Iteration for POMDPs with Neural Perception Mechanisms—0
SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models—0
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging—0
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty—0
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize—0
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models—0
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 Probabilities—0
Minimax-Bayes Reinforcement LearningCode0
Utilization of domain knowledge to improve POMDP belief estimation—0
Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-dependent Constraints—0
Quantum Circuit Components for Cognitive Decision-Making—0
Practical Bandits: An Industry Perspective—0
Fair Decision-making Under Uncertainty—0
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty—0
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 Auctions—0
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 Observability—0
Multi-armed Bandit Learning on a GraphCode0
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits—0
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty—0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning—0
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits—0
Hindsight Learning for MDPs with Exogenous InputsCode0
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes—0
Thompson Sampling Achieves O(T) Regret in Linear Quadratic Control—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations—0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes—0
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