Trajectory Ensembles and Machine Learning: From reinforcement learning for rare event sampling to training of neural network ensembles

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Trajectory Ensembles and Machine Learning: From reinforcement learning for rare event sampling to training of neural network ensembles

This thesis builds on the existing body of work connecting the fields of statistical mechanics and machine learning. Many advances in machine learning have found their roots in statistical mechanics, e.g. simulated annealing for heuristic optimisation. Primarily, we aim to build bridges between traj...

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Bibliographic Details
Main Author:	Mair, Jamie
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	Machine learning neural network ensemble trajectory rare event reinforcement learning ensembles gradient descent large deviation theory statistical physics
Online Access:	https://eprints.nottingham.ac.uk/76278/

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