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11:43 - Models and Dynamics
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Classroom Contents
The 6 Questions That Every Reinforcement Learning Algorithm Must Answer
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- 1 0:00 - Intro
- 2 2:59 - Basics of RL
- 3 6:44 - What it can see, what it can do
- 4 9:03 - How it explores
- 5 11:43 - Models and Dynamics
- 6 13:50 - Evaluating states and Q-values
- 7 19:37 - TD Learning, MC Sampling
- 8 22:33 - Policy Gradients, Actor Critics
- 9 28:53 - Stability and Plasticity
- 10 32:00 - Outro
