Thijs Ramakers

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Real robots demonstrating online Reinforcement Learning (RL) to learn new tasks are hard to find. The specific properties and limitations of real robots have a large impact on their suitability for RL experiments. In this work, we derive the main hardware and software requirements that a RL robot should fulfill, and present our biped robot LEO that was(More)
The undersigned hereby certify that they have read and recommend to the Faculty of Mechanical, Maritime and Materials Engineering (3mE) for acceptance a thesis entitled Abstract Reinforcement Learning (RL) is a popular method in machine learning. In RL, an agent learns a policy by observing state-transitions and receiving feedback in the form of a reward(More)
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