Courses/Reinforcement Learning: Theory to Practice
Reinforcement Learning

Reinforcement Learning: Theory to Practice

Master RL algorithms from Q-learning to PPO. Build agents that learn from interaction and make optimal decisions.

4.9rating
2,890 students
14 weeks
Advanced

Instructor:

Prof. David Kumar

$549

One-time payment, lifetime access

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This course includes:

  • Lifetime access to all course materials
  • Hands-on projects and assignments
  • Certificate of completion
  • Expert instructor support

What You'll Learn

Python
OpenAI Gym
Q-Learning
Policy Gradients
Actor-Critic

Course Curriculum

1
RL Fundamentals
2
Value-Based Methods
3
Policy Gradient Methods
4
Actor-Critic Algorithms
5
Advanced RL Techniques

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