Decision Making Under Uncertainty
42 papers with code • 0 benchmarks • 2 datasets
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A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
To enable decision-making under uncertainty and partial observability, we developed a novel probabilistic neuro-symbolic framework, Probabilistic Logical Neural Networks (PLNN), which combines the capabilities of logical reasoning with probabilistic graphical models.
Probability Tools for Sequential Random Projection
We introduce the first probabilistic framework tailored for sequential random projection, an approach rooted in the challenges of sequential decision-making under uncertainty.
Thompson Sampling in Partially Observable Contextual Bandits
Accordingly, a fundamental problem is that of balancing exploration (i. e., pulling different arms to learn their parameters), versus exploitation (i. e., pulling the best arms to gain reward).
Second Order Methods for Bandit Optimization and Control
We show that our algorithm achieves optimal (in terms of horizon) regret bounds for a large class of convex functions that we call $\kappa$-convex.
Stochastic COLREGs Evaluation for Safe Navigation under Uncertainty
This article considers decision making under uncertainty and suggests a novel method for probabilistic interpretation of vessel encounters that is explainable and provides a measure of uncertainty in the evaluation.
DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models
Large language models (LLMs) are increasingly used across society, including in domains like business, engineering, and medicine.
Partially Law-Invariant Risk Measures
A notion of strong partial law invariance is introduced, allowing for a representation formula akin to the classical one.
High-dimensional forecasting with known knowns and known unknowns
Forecasts play a central role in decision making under uncertainty.
Probabilistic Demand Forecasting with Graph Neural Networks
We also show that our approach produces article embeddings that encode article similarity and demand dynamics and are useful for other downstream business tasks beyond forecasting.
"Bayesian anchoring" and the fourfold pattern of risk attitudes
Experiments on decision making under uncertainty are known to display a classical pattern of risk aversion and risk seeking referred to as "fourfold pattern" (or "reflection effect") , but recent experiments varying the speed and order of mental processing have brought to light a more nuanced phenomenology.