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Markov Decision Processes
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Classroom Contents
Reinforcement Learning Course - Full Machine Learning Tutorial
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- 1 Intro
- 2 Intro to Deep Q Learning
- 3 How to Code Deep Q Learning in Tensorflow
- 4 Deep Q Learning with Pytorch Part 1: The Q Network
- 5 Deep Q Learning with Pytorch part 2: Coding the Agent
- 6 Deep Q Learning with Pytorch part
- 7 Intro to Policy Gradients 3: Coding the main loop
- 8 How to Beat Lunar Lander with Policy Gradients
- 9 How to Beat Space Invaders with Policy Gradients
- 10 How to Create Your Own Reinforcement Learning Environment Part 1
- 11 How to Create Your Own Reinforcement Learning Environment Part 2
- 12 Fundamentals of Reinforcement Learning
- 13 Markov Decision Processes
- 14 The Explore Exploit Dilemma
- 15 Reinforcement Learning in the Open AI Gym: SARSA
- 16 Reinforcement Learning in the Open AI Gym: Double Q Learning
- 17 Conclusion
