Code: 38547757
In this thesis, we contribute to new directions within Reinforcement Learning, which are important for many practical applications such as the control of biomechanical models. We deepen its mathematical foundations by deriving the ... more
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In this thesis, we contribute to new directions within Reinforcement Learning, which are important for many practical applications such as the control of biomechanical models. We deepen its mathematical foundations by deriving theoretical results inspired by classical optimal control theory and the connection between neural networks and differential equations. The resulting approach is applied to control complex motions.
Book category Books in English Mathematics & science Mathematics Optimization
65.20 €
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