Mastering Reinforcement Learning: From Fundamentals to Advanced Algorithms

Description

Course Curriculum

Module: 1 — Introduction to Reinforcement Learning

  • Introduction to Reinforcement Learning
    00:00

Module: 2 — Markov Decision Processes (MDPs) in Sequential Decision Making

Module: 3 — Dynamic Programming for Planning in RL

Module: 4 — Model-Free Prediction Methods

Module: 5 — Model-Free Control Techniques

Module: 6 — Value Function Approximation Methods

Module: 7 — Policy Gradient Algorithms

Module: 8 — Integrating Planning with Learning Systems

Module: 9 — Exploration vs Exploitation Strategies

Module: 10 — Reinforcement Learning in Classic Games

Free
Free access this course
  • Level
    Intermediate
  • Last Updated
    June 1, 2026