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RL Toolbox: Proximal Policy Optimisation

Asked by Robert Gordon on 8 Aug 2019
I just wanted to ask if anyone is aware of a proximal policy optimisation (PPO) reinforement learning implimentation avaliable for MATLAB RL Toolbox. I know that you can create a custom agent class, but I wanted to see if anyone else has implimented it before?
Thanks!

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1 Answer


Hi Robert,
Reinforcement Learning Toolbox in R2019b has a PPO implementation for discrete action spaces. Future releases will include continuous action spaces as well.
I hope this helps.

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