Towards data-efficient deployment of reinforcement learning systems

<p>A fundamental concern in the deployment of artificial agents in real-life is their capacity to quickly adapt to their surroundings. Traditional reinforcement learning (RL) struggles with this requirement in two ways. Firstly, iterative exploration of unconstrained environment dynamics yield...

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Bibliographic Details
Main Author: Schulze, S
Other Authors: Osborne, M
Format: Thesis
Language:English
Published: 2021
Subjects: