edX
MOOC / Non-credit
0
Playing Games with Reinforcement Learning
About this course
Learn the fundamentals of reinforcement learning by building a grid-world environment and training a Q-learning agent to navigate it. Explore agent-environment interaction, reward design, and exploration strategies.
D
52/100
CourseAsk score
- What the provider tells you
- 16/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the fundamentals of reinforcement learning
- build a grid-world environment
- train a Q-learning agent
- explore agent-environment interaction
- design effective reward systems
- develop exploration strategies
Machine Learning
#reinforcement learning
#artificial intelligence
#machine learning
#Q-learning
#reward design
#exploration strategies
#grid-world
#agent-environment interaction
$40.00
Price shown by edX — confirm on their site.
Enroll on edXYou'll be redirected to edX to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
Coursera
edX
Compared on these lists
Where this course ranks against the alternatives.