Steps in RL Terms in RL
Monte Carlo Prediction
Bellman's Equation and Optimal Value function
Model Free RL
What is Reinforcement Learning for ML/AI
Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.
Though both supervised and reinforcement learning use mapping between input and output, unlike supervised learning where feedback provided to the agent is correct set of actions for performing a task, reinforcement learning uses rewards and punishment as signals for positive and negative behavior.
In this course, you will be introduced to Reinforcement Learning, an area of Machine Learning. You will learn the Markov Decision Processes, Bandit Algorithms, Dynamic Programming, and Temporal Difference (TD) methods. You will be introduced to Value function, Bellman Equation, and Value iteration. You will also learn Policy Gradient methods. You will learn to make decisions in uncertain environment.
How to Enroll for this course at Irizpro?
You can buy this course from this section and we will reach out to you with all the relevant enrolment and batch starting date on your email.
Alternatively, if you wish to consult with us before enrolling, or other admission schemes we may be offering, feel free to write to us at [email protected] or call/whatsapp at 7506937544
- Lectures 0
- Quizzes 0
- Duration 16 hours
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes