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Decision Making Under Uncertainty

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Showing 51–75 of 263 papers

TitleStatusHype
Hierarchical Neuro-Symbolic Decision Transformer—0
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence—0
Map Space Belief Prediction for Manipulation-Enhanced Mapping—0
Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Words or Numbers? How Framing Uncertainties Affects Risk Assessment and Decision-Making—0
Online Clustering of Dueling Bandits—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process—0
Online MDP with Transition Prototypes: A Robust Adaptive Approach—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Explainable Finite-Memory Policies for Partially Observable Markov Decision Processes—0
Fair Secretaries with Unfair Predictions—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Crafting desirable climate trajectories with RL explored socio-environmental simulationsCode0
EVOLvE: Evaluating and Optimizing LLMs For Exploration—0
Functional Clustering of Discount Functions for Behavioral Investor Profiling—0
Mitigating optimistic bias in entropic risk estimation and optimization with an application to insurance—0
Rao-Blackwellized POMDP Planning—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
A knapsack for collective decision-making—0
Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
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