Unity ML-Agents - Watch this first! (Is this framework for you?)
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- Опубліковано 11 лис 2020
- Before learning Unity ML-Agents, you should watch this to make sure it is the framework for you.
Watch this after: • Unity ML-Agents 1.0 - ...
And then this: • ML-Agents 1.0+ | Creat...
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Really nice stuff! I plan on using ML for a future vid (probably in 2 vids) and have been watching your vids. They're super helpful!
Actually, ML-Agents can be used for imitation learning, and imitation learning is a supervised learning
This is amazing. I just starting building some trees in behavior designer, but without a TON of code its always going to look super robotic and end up doing the same predictable stuff every time. This looks like quite the solution.
Thank you so much.. wow!
is it possible to export my ML model into other languages?
Turns out he is a PyTorch Guy, Where is the Tensorflow Squad? (I am Tensorflow!)
But doesn't ML Agents use Tensorflow anyway, I presume all the use of Tensorboard, inferred a Tensorflow backend. But the stack is pretty much hidden by the ML Agents hyperparamters and config files anyway.
As a novice in Deep ML, I started with Keras, and hence now Tensorflow 2.0. But I am seeing a lot of the new Deep RL algorithms examples being developed and explained through PyTorch based networks, with easier control over which sub networks are frozen. I perceive that Academia has some preference for PyTorch.
Don't do it! Use numpy+matplotlib instead!