Hello!!!
I would like to ask how can I train my agents with my own reinforcement learning algorithm? Especially, I want to use MADDPG algorithm instead of PPO. Do you know which changes I have to do?
Thank you in advance!!!
Is there any algorithm to implement roadmap? I’m interested in custom algorithms also and it would be nice to know if there is any plan to not overlapping developments with the Unity team.
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You can definitely implement your own models using TF2, but it isn’t simple to set up. Look at the models.py file and go from there (I can’t really help beyond that, but you can look into the custom docker as well). Check the documentation.
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