BSTE:ReinforcmentLearning
Revision as of 18:09, 19 November 2021 by R.sirgalina (talk | contribs) (Replaced content with " = Reinforcement Learning = * Course name: Reinforcement Learning == Course Characteristics == === Key concepts of the class === * Fundamentals of Reinforcement Learning...")
Reinforcement Learning
- Course name: Reinforcement Learning
Course Characteristics
Key concepts of the class
- Fundamentals of Reinforcement Learning
- Sample-based Learning Methods
- Prediction and Control with Function Approximation
What is the purpose of this course?
Harnessing the full potential of artificial intelligence requires adaptive learning systems. Reinforcement learning (RL) is one powerful paradigm for doing so, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare.