Deep Reinforcement Learning with Proximal Policy Optimization (PPO) with Code example!

VIDEO TIMESTAMPS 00:00 Intro 01:30 Why PPO? 02:20 Actor Critic Issues 05:20 Improvements to make 06:50 RL Training Procedure 08:00 TRPO 14:50 GAE 21:10 PPO 31:15 PPO Implementation In this series we're going to look into how we can apply deep learning to Reinforcement Learning! In this video we discuss the concepts around PPO and how we can use them to create an RL implementation that work with a complicated environment! Finally we'll see how we can train a reinforcement learning agent to play a game! Code and slides here! (section 11 RL) https://github.com/LukeDitria/pytorch_tutorials/ Discord Server: https://discord.gg/8g92X5hjYF Donations https://www.buymeacoffee.com/lukeditria