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Machine Learning

Reinforcement Learning

Train agents that learn from experience.

4.6 rating12h 20mEnglish2024
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About this course

Course Overview

Train agents that learn from experience.

Duration12h 20m
Rating4.6 / 5
LanguageEnglish
Released2024
PlanPremium

What you'll learn

Q-learning, policy gradients, deep RL, and training agents for games and robotics simulation environments.

TopicMachine Learning

Instructors

  • David Okonkwo

Provider

RL School

Skills you'll gain

Reinforcement LearningAgents
Learner feedback

Student Reviews

See what learners say about this course — ratings, highlights, and recent feedback.

David Okonkwo

ML Researcher

Policy gradient derivations are well explained. Simulation environments are fun.

Fiona Reid

Game Developer

Used Q-learning to train a simple game agent. Course ties theory to playable demos.

George Tan

Robotics Engineer

Deep RL section is hard — expect to rewatch. But it's the real deal.

Helen Wright

Professor

Recommend for advanced learners. Complements Sutton & Barto with modern code.

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