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Decision Making Under Uncertainty

6 papers with code · Reasoning

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Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning

5 Feb 2019sisl/DreamrHHP

We introduce the problem of Dynamic Real-time Multimodal Routing (DREAMR), which requires planning and executing routes under uncertainty for an autonomous agent.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints

27 May 2020sisl/SCoBA.jl

We consider the problem of dynamically allocating tasks to multiple agents under time window constraints and task completion uncertainty.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Calibrating Deep Convolutional Gaussian Processes

26 May 2018GiaLacTRAN/convolutional_deep_gp_random_features

The wide adoption of Convolutional Neural Networks (CNNs) in applications where decision-making under uncertainty is fundamental, has brought a great deal of attention to the ability of these models to accurately quantify the uncertainty in their predictions.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY GAUSSIAN PROCESSES IMAGE CLASSIFICATION

Probabilistic Logic Programming with Beta-Distributed Random Variables

20 Sep 2018dais-ita/SLProbLog

We enable aProbLog---a probabilistic logical programming approach---to reason in presence of uncertain probabilities represented as Beta-distributed random variables.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Bayesian Optimization of Risk Measures

10 Jul 2020saitcakmak/BoRisk

We consider Bayesian optimization of objective functions of the form $\rho[ F(x, W) ]$, where $F$ is a black-box expensive-to-evaluate function and $\rho$ denotes either the VaR or CVaR risk measure, computed with respect to the randomness induced by the environmental random variable $W$.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY PORTFOLIO OPTIMIZATION

Factorized Machine Self-Confidence for Decision-Making Agents

15 Oct 2018COHRINT/FaMSeC

Markov decision processes underlie much of the theory of reinforcement learning, and are commonly used for planning and decision making under uncertainty in robotics and autonomous systems.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY