⭐️ Course Contents ⭐️ ⌨️ () Intro ⌨️ (00:01:30) Intro to Deep Q Learning ⌨️ (00:08:56) How to Code Deep Q Learning in Tensorflow ⌨️ (00:52:03) Deep Q Learning with Pytorch Part 1: The Q Network ⌨️ (01:06:21) Deep Q Learning with Pytorch part 2: Coding the Agent ⌨️ (01:28:54) Deep Q Learning with Pytorch part ⌨️ (01:46:39) Intro to Policy Gradients 3: Coding the main loop ⌨️ (01:55:01) How to Beat Lunar Lander with Policy Gradients ⌨️ (02:21:32) How to Beat Space Invaders with Policy Gradients ⌨️ (02:34:41) How to Create Your Own Reinforcement Learning Environment Part 1 ⌨️ (02:55:39) How to Create Your Own Reinforcement Learning Environment Part 2 ⌨️ (03:08:20) Fundamentals of Reinforcement Learning ⌨️ (03:17:09) Markov Decision Processes ⌨️ (03:23:02) The Explore Exploit Dilemma ⌨️ (03:29:19) Reinforcement Learning in the Open AI Gym: SARSA ⌨️ (03:39:56) Reinforcement Learning in the Open AI Gym: Double Q(00:00:00 - 03:54:07)
Reinforcement Learning Course - Full Machine Learning Tutorial
freeCodeCamp.org
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