A Complete Reinforcement Learning System (Capstone)
https://www.coursera.org/learn/complete-reinforcement-learning-system?specialization=reinforcement-learning
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 wh
Categoria: Data Science
Subcategoria: Machine Learning
Tipo de Curso: Course
Habilidades: Artificial Intelligence (AI),Machine Learning,Reinforcement Learning,Function Approximation,Intelligent Systems,
Idioma: English
Subtitulos: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Rating: 4.7stars
Vistas: 587
Sitio Web: Coursera
Duracion: Approx. 15 hours to complete
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