Policy Gradient methods and Proximal Policy Optimization (PPO): diving into Deep RL!
In this episode I introduce Policy Gradient methods for Deep Reinforcement Learning.After a general overview, I dive into Proximal Policy Optimization: an algorithm designed at OpenAI that tries to find a balance between sample efficiency and code complexity. PPO is the algorithm used to train the OpenAI Five system and is also used in a wide range of other challenges like Atari and robotic control tasks.If you want to support this channel, here is my patreon link:--- You are amazing!! ;)Links mentioned in the video:⦁ PPO paper: TRPO paper: OpenAI PPO blogpost: Aurelien Geron: KL divergence and entropy in ML: Deep RL Bootcamp - Lecture 5: RL-adventure PyTorch implementation: OpenAI Baselines TensorFlow implementation:
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U CANT HEAR SOUND I SPACE ITS BEEN PROVED MULTIPLE TIMES!!!!😡🤣
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Who else got depression?
@dud158 it is because of how the camera is angled.
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Guru, you’re one of the few channels that put out high quality videos I genuinely look forward to watching. Keep up the incredible work!
Is that Jerome..?
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that weeb Filthy Frank had to claim Cory in the House is a fucking anime...
Adam Sand Jensen
Er du dansker?
Me: ThErE lIkE 80 yEaRs Old
I have Asperger's too! I understand animals better than kids my age, and even sometimes get along better with adults than kids my age (then again I'm a teenager and this is the period of time where everyone goes mental)
FREDDY YOU SUCK
This is the amount of times Ethan has mentioned his weight loss
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Ayleen Esparza Arellano
I've been subed and the post notifications on since the beginning I've seen Elle grow up I've seen All the houses and all the pranks and I love you guys ❤️❤️