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What are the challenges with the interpretability of RL results?
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Classroom Contents
How to Leverage Reinforcement Learning
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- 1 Intro
- 2 Introduction of Rebecca & Phil
- 3 Reinforcement learning RL vs machine learning ML
- 4 Key terminology for RL
- 5 RL in education
- 6 What kind of industry applications is RL best suited for?
- 7 Can we apply RL to long-term strategies?
- 8 Are the people running the algorithms, running the company?
- 9 RL and people
- 10 Problem definition and RL
- 11 The book
- 12 What excites you the most about RL?
- 13 What are the challenges with the interpretability of RL results?
- 14 Applying RL algorithms to real life
- 15 Thank you and goodbye Rebecca & Phil
- 16 Takeaways
- 17 Outro
