How to add custom environment for Reinforcement learning toolbox?

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shahin sarhan
shahin sarhan 2023-10-25
评论： Emmanouil Tzorakoleftherakis 2023-10-28
I want to make a 3d environment representing a neighborhood containing some blocks as the buildings. I want to use this model as the environment in the toolbox for the agent to interact with and find the shortest path. How should I do that? I'm having difficulties defining this using classes.

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Emmanouil Tzorakoleftherakis
Why do you need a 3d world for this problem? Unless you consider the z dimension (e.g. if you do planning for UAVs), you only need a 2d env. Even if you were to do it for visualization, I wouldn't recommend training in the 3d world since it would only make training slower. I would start with a grid world or some occupancy grid that you can tailor to match the 3d world you have in mind:
https://www.mathworks.com/help/reinforcement-learning/ug/train-q-learning-agent-to-solve-basic-grid-world.html
https://www.mathworks.com/help/robotics/ug/avoid-obstacles-using-reinforcement-learning-for-mobile-robots.html

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