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pro vyhledávání: '"Moss, Robert"'
Autor:
Germano, Domenic P. J., Zarebski, Alexander E., Hautphenne, Sophie, Moss, Robert, Flegg, Jennifer A., Flegg, Mark B.
Many multi-scale systems exhibit stochastic and deterministic dynamics. Capturing these aspects in a compartmental model is challenging. Notably, low occupancy compartments exhibit stochastic dynamics and high occupancy compartments exhibit determini
Externí odkaz:
http://arxiv.org/abs/2405.13239
To plan safely in uncertain environments, agents must balance utility with safety constraints. Safe planning problems can be modeled as a chance-constrained partially observable Markov decision process (CC-POMDP) and solutions often use expensive rol
Externí odkaz:
http://arxiv.org/abs/2405.00644
Over the past decade, machine learning has demonstrated impressive results, often surpassing human capabilities in sensing tasks relevant to autonomous flight. Unlike traditional aerospace software, the parameters of machine learning models are not h
Externí odkaz:
http://arxiv.org/abs/2310.03217
Publikováno v:
RLJ, Volume 1, Issue (Number) 1, 2024
Real-world planning problems, including autonomous driving and sustainable energy applications like carbon storage and resource exploration, have recently been modeled as partially observable Markov decision processes (POMDPs) and solved using approx
Externí odkaz:
http://arxiv.org/abs/2306.00249
Publikováno v:
AIAA Journal of Aerospace Information Systems (JAIS) 21.7 (2024): 533-546
Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges posed by high-dimensional input spaces, risky test scenarios, and computat
Externí odkaz:
http://arxiv.org/abs/2305.02449