Soft Supervisory Control of Heterogeneous Dynamical Systems Using Attention Mechanisms
Klinsmann Agyei, Pouria Sarhadi
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Klinsmann Agyei, Pouria Sarhadi
gb (code pays fourni par la source)
Klinsmann Agyei, Pouria Sarhadi
Traditional controllers are designed for specific systems and do not transfer across different system orders and dynamics. We present a Generalist Controller, a learning-based controller capable of controlling systems of varying orders and dynamics. The approach introduces a novel dynamic state-space representation …
Klinsmann Agyei, Pouria Sarhadi, Daniel Polani
Deep reinforcement learning (DRL) algorithms have shown increasing promise for autonomous decision-making and continuous control, yet their practical value relative to established control methods remains difficult to assess under realistic control-engineering conditions. Existing evaluations are often narrow, application-specific, or based on inconsistent …
gb (code pays fourni par la source)
Klinsmann Agyei, Pouria Sarhadi
Traditional controllers are designed for specific systems and do not transfer across different system orders and dynamics. We present a Generalist Controller, a learning-based controller capable of controlling systems of varying orders and dynamics. The approach introduces a novel dynamic state-space representation …
gb (code pays fourni par la source)
The paper introduces a novel approach to utilising Large Language Models (LLMs) for real-time COLREGs-based decision-making in collision encounters. The COLREGs (collision regulations), published by the International Maritime Organisation (IMO), have served as baseline regulations for empirical maritime collision avoidance in open …
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Klinsmann Agyei, Pouria Sarhadi, Wasif Naeem
In the field of autonomous surface vehicles (ASVs), devising decision-making and obstacle avoidance solutions that address maritime COLREGs (Collision Regulations), primarily defined for human operators, has long been a pressing challenge. Recent advancements in explainable Artificial Intelligence (AI) and machine learning have …
gb (code pays fourni par la source)
Klinsmann Agyei, Pouria Sarhadi, Wasif Naeem
In the field of autonomous surface vehicles (ASVs), devising decision-making and obstacle avoidance solutions that address maritime COLREGs (Collision Regulations), primarily defined for human operators, has long been a pressing challenge. Recent advancements in explainable Artificial Intelligence (AI) and machine learning have …
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