Proximal Policy Optimization Explained
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=HrapVFNBN64
Every what is proximal policy optimization? , well this is the video for you. Proximal Policy Optimization (PPO) is a reinforcement learning training method. It falls into the category of policy gradient methods, which is where a predictor is trained on a gradient derived directly from a reward function. PPO is sample efficient and very stable which makes it great from RL control problems like robotics and also many other tasks. • RL theory series: • Reinforcement Learning Made Simple • ^ Watch the series above if you were confused • PPO paper: https://arxiv.org/abs/1707.06347 • TRPO paper: https://arxiv.org/abs/1502.05477
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