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Decision Making Under Uncertainty

4 papers with code ยท Reasoning

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Macro-Action-Based Deep Multi-Agent Reinforcement Learning

18 Apr 2020

In real-world multi-robot systems, performing high-quality, collaborative behaviors requires robots to asynchronously reason about high-level action selection at varying time durations.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY MULTI-AGENT REINFORCEMENT LEARNING

Efficient Gaussian Process Bandits by Believing only Informative Actions

23 Mar 2020

Bayesian optimization is a framework for global search via maximum a posteriori updates rather than simulated annealing, and has gained prominence for decision-making under uncertainty.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Sequential Bayesian Experimental Design for Implicit Models via Mutual Information

20 Mar 2020

We address this gap in the literature by devising a novel sequential design framework for parameter estimation that uses the Mutual Information (MI) between model parameters and simulated data as a utility function to find optimal experimental designs, which has not been done before for implicit models.

BAYESIAN OPTIMISATION DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Information Directed Sampling for Linear Partial Monitoring

25 Feb 2020

Partial monitoring is a rich framework for sequential decision making under uncertainty that generalizes many well known bandit models, including linear, combinatorial and dueling bandits.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Stochastic Finite State Control of POMDPs with LTL Specifications

21 Jan 2020

Partially observable Markov decision processes (POMDPs) provide a modeling framework for autonomous decision making under uncertainty and imperfect sensing, e. g. robot manipulation and self-driving cars.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY ROBOT NAVIGATION SELF-DRIVING CARS

On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities

21 Jan 2020

This is not a trivial planning problem --- a major challenge with dynamically balancing the spatial distribution of responders is the complexity of the problem.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Quantum-like Structure in Multidimensional Relevance Judgements

20 Jan 2020

A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Value of structural health monitoring quantification in partially observable stochastic environments

28 Dec 2019

Sequential decision-making under uncertainty for optimal life-cycle control of deteriorating engineering systems and infrastructure entails two fundamental classes of decisions.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Atari-fying the Vehicle Routing Problem with Stochastic Service Requests

14 Nov 2019

We present a new general approach to modeling research problems as Atari-like videogames to make them amenable to recent groundbreaking solution methods from the deep reinforcement learning community.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Optimal Immunization Policy Using Dynamic Programming

19 Oct 2019

Decision making under uncertainty is a challenging task, and all too often this uncertainty is averaged away to simplify results for policy makers.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY