Browse SoTA > Reasoning > Decision Making Under Uncertainty

# Decision Making Under Uncertainty Edit

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.

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# 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.

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# 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.

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# 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.

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# 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 $W$.

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# 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.

0