In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms. This capstone is valuable for anyone who is planning on using RL to solve real problems.
提供方
課程信息
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
您將獲得的技能
- Artificial Intelligence (AI)
- Machine Learning
- Reinforcement Learning
- Function Approximation
- Intelligent Systems
Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode.
授課大綱 - 您將從這門課程中學到什麼
Welcome to the Final Capstone Course!
Milestone 1: Formalize Word Problem as MDP
Milestone 2: Choosing The Right Algorithm
Milestone 3: Identify Key Performance Parameters
審閱
- 5 stars77.35%
- 4 stars16.46%
- 3 stars5.14%
- 2 stars0.68%
- 1 star0.34%
來自A COMPLETE REINFORCEMENT LEARNING SYSTEM (CAPSTONE)的熱門評論
I give 4 stars because this last course is not as good as the previous ones. No real complaints, but it's not as "complete".
Excellent Course. Completed specialization in 3 weeks, and deeply understood concepts from Sutton & Barto 2nd Ed. Thank you!
Thanks a lot for offering this specialization! I really enjoyed watching the videos and working on the assignments while exploring various topics of RL.
The project seems to be complicated at first glance, but the notebook will guide you through the implementation, and you will know what you are doing eventually.
關於 强化学习 專項課程

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