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Showing 1 to 2 of 2 for “"Parameter Informed Reinforcement Learning"”.

  1. Parameter Informed Reinforcement Learning for Vehicle System Identification

    … This dissertation explores the application of Parameter Informed Reinforcement Learning (PIRL) as a novel approach to system identification (SYSID). PIRL integrates prior system knowledge, such as physical parameters, into reinforcement learning (RL) frameworks to improve estimation accuracy. …

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  2. Online Aircraft System Identification Using a Novel Parameter Informed Reinforcement Learning Method

    … and analysis of a novel method for training reinforcement learning neural networks for online aircraft system identification of multiple similar linear systems, such as all fixed wing aircraft. This approach, termed Parameter Informed Reinforcement Learning (PIRL), dictates that reinforcement

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