Reinforcement Learning
Take the next leap in Artificial Intelligence!
4.75/5.0, 4 ratings
photo ofRitesh Prasad
Ritesh Prasad
Course Language


The all new Reinforcement Learning Master Course is perfect blend of mathematics and coding that will aid you to kickstart RL techniques by building strong mathematical foundations. The course covers almost all areas and advanced topics in modern Reinforcement Learning starting from Markov Decision Processes, Tabular Learning Methods, Function Approximation,Q-Learning, Deep Reinforcement Learning, GamePlay and research paper discussion. We discusses several methods to train AI Agents that learn to make decisions in complex environments. We also discuss Deep Reinforcement Learning based techniques which are quite powerful and popular to solve many real life challenges using artificial intelligence. The course requirers understand of Machine Learning and Deep Learning basics as pre-requisites along with familiarity with Python and deep learning framework such as Keras/PyTorch.


  • Introduction to Reinforcement Learning
  • Markov Decision Processes
  • Finding optimal policies using Dynamic Programming
  • Finding optimal policies using Monte Carlo Methods
  • Temporal-Difference Learning
  • Prediction & Control with Value Function Approximation
  • Policy Gradients
  • Deep Reinforcement Learning
  • GamePlay & Paper Discussion
  • Major Project
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Jul 20
Aug 20


Batch starting 01 Jul, Wed
₹ 7999
₹ 7999
Valid for 6 Months
Course Content
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Course Includes
Research Paper Discussion
Expert Video Lessons
Capstone Project
About Mentors
Ritesh Prasad

Ritesh is CS graduate from National Institute of Technology, Jamshedpur. He is right now filling in as a Data Scientist and has been tackling business issues by creating start to finish data driven items. He has won hackathons, has been to ACM-ICPC regionals, and his research paper has been published in international journals. His significant advantages lies in the field of Reinforcement Learning and it's applications in reality.

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