How to visualize episode behaviour with the reinforcement learning toolbox?
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How can I create a visualization for a custom environment that shows the behaviour of the system in the environment during an episode of training? I cannot find code examples or clarifations of code that visualizes systems behaviour during training episodes anywhere on Mathworks. I would like to achieve a visualization that looks something like the cart-pole visualizer shown on this page: https://nl.mathworks.com/help/reinforcement-learning/ug/train-pg-agent-to-balance-cart-pole-system.html?searchHighlight=cart%20pole&s_tid=doc_srchtitle.
PS I am trying to solve the continuous mountain car problem with a ddpg agent with the reinforcement learning toolbox
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