Reinforcement learning slides
- 1. MachineLearning Reinforcement Learning: One Of The Machine Learning Fields. Omran Hakami - AI Student - We Will Start At 8:05 PM
- 2. • Quick review on ML fields • What is the reinforcement learning? • When to Use the reinforcement learning? • Questions for you to answer R e i n f o r c e m e n t L e a r n i n g
- 4. R e i n f o r c e m e n t L e a r n i n g Machine Learning Fields: - Unsupervised Learning: Find a pattern or a relationship between data. - Supervised Learning: build learning algorithms from training dataset. - Reinforcement Learning: find the best actions that generate the optimal outcome.
- 5. R e i n f o r c e m e n t L e a r n i n g Concepts: - Policy: Mapping for an actions. - Agent: is an entity that perceives and acts upon its environment. - Environment: its where the agent send actions and receive rewards. - Reward: a tool used to tell the agent how good he did. - Observation (state): what happened after the action.
- 6. Action Reward observation Envir onme nt Ag en t Po lic y What is the reinforcement learning?
- 7. Action Reward observation Envir onme nt Ag en t Po lic y Reinforcement Learning Modify What is the reinforcement learning?
- 8. R e i n f o r c e m e n t L e a r n i n g neural network: - Used to represent the policy - Consisted of three layers ( input – hidden – output)
- 9. R e i n f o r c e m e n t L e a r n i n g When Not to Use the reinforcement learning. You can't apply reinforcement learning model is all the situation. Here are some conditions when you should not use reinforcement learning model. - When you have enough data to solve the problem with a supervised learning method - You need to remember that Reinforcement Learning is computing-heavy and time-consuming.
- 11. R e i n f o r c e m e n t L e a r n i n g Questions for you to answer: Value: total expected rewards in the future. Rewards: instants rewards.
- 12. R e i n f o r c e m e n t L e a r n i n g Questions for you to answer: Exploration: explore the environment and increase your knowledge. Exploitation: using the knowledge to collect the rewards that he already know about.
- 13. R e i n f o r c e m e n t L e a r n i n g Videos Links: - https://www.youtube.com/watch?v=Lu56xVlZ40M - https://www.youtube.com/watch?v=VMp6pq6_QjI&t=95s
- 14. Thank you for your time