Basic Reinforcement Learning with Python | WSQ Courses

Originally published at: Basic Reinforcement Learning with Python | WSQ Courses – WSQ courses | SkillsFuture Courses

Reinforcement Learning is a type of machine learning that allows machines and software agents to act smart and automatically detect the ideal behavior within a specific environment, in order to maximize its performance and productivity. Reinforcement Learning is becoming popular because it not only serves as an way to study how machine and software agents learn to act, it is also been used as a tool for constructing autonomous systems that improve themselves with experience.

Course Highlights

By end of the course, learners will

  • Understand the fundamental concepts of Markov Decision Process (MDP) and Reinfocement Learning (RL)
  • Learn RL using OpenAI Gym and Stable Baselines
  • Understand and code Q-Leanring and DQN
  • Understand and code Policy Gradient


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ – Reinforcement Learning Course


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