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Reinforcement Learning In The Real World

Contributors
Total time needed: ~9 hours
Objectives
This recipe provides a high level procedure for identifying and leveraging reinforcement learning related use cases in real world.
Potential Use Cases
stock trading, event scheduling
Who is This For ?
INTERMEDIATEanyone with high level understanding of machine learning and interested in potential RL use cases in industry
Click on each of the following annotated items to see details.
Resources3/13
VIDEO 1. RL in Real World
  • How can RL be used in the real world?
60 minutes
PAPER 2. An empirical investigation of the challenges of real-world reinforcement learning
  • What challenged does using RL in real world face?
10 minutes
CALL_TO_ACTION 3. Example RL agents learning in the browser
10 minutes
UPLOAD_PDF 4. RL in Real World
  • How can RL be used in the real world?
20 minutes
VIDEO 5. Deep RL Class Video Playlist
  • How does deep reinforcement learning work?
3 hours
OTHER 6. THE RL Book
  • Where can i find everything about reinforcement learning?
15 minutes
OTHER 7. Udacity RL Class
  • What is reinforcement learning?
10 minutes
OTHER 8. Coursera RL specialization from U Alberta
  • What is reinforcement learning?
  • How can I use reinforcement learning?
3 hours
ARTICLE 9. Spinning Up in Deep RL
  • How can I quickly start implementing deep RL?
10 minutes
OTHER 10. Algorithms in Reinforcement Learning
  • What algorithms are used in reinforcement learning?
  • Why might you pick one algorithm over another?
10 minutes
ARTICLE 11. Markov Decision Process
  • What is MDP?
5 minutes
ARTICLE 12. Game Theory
  • What is game theory?
  • How does game theory relate to RL?
5 minutes
ARTICLE 13. Using Dynamic Programming to find the optimal policy in Grid World
  • What is value iteration?
  • What is policy iteration?
10 minutes

Concepts Covered

Xiyang Chen.
This is interesting.