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Deep Reinforcement Learning using python 2025
R
Riad Almadani
5/3/2025
·
1 min read
Course Overview
Course Title:
Deep Reinforcement Learning using python 2025
Instructor:
Riad Almadani
Target Audience:
Intermediate to advanced learners in machine learning
Individuals interested in deep reinforcement learning and AI
Developers looking to build smart robots
Prerequisites:
Numpy, Matplotlib, Pandas
Gradient descent
Object-oriented programming
General understanding of deep learning
Curriculum Highlights
Key Topics Covered:
An Introduction to Deep Reinforcement Learning
Setting up the environment
Grid World Game & Deep Q-Learning
Mountain Car game & Deep Q-Learning
Flappy bird game & Deep Q-learning
Ms Pacman game & Deep Q-Learning
Stock trading & Deep Q-Learning
Key Skills Learned:
Understanding deep reinforcement learning and its applications
Building neural networks
Implementing reinforcement learning projects
Improving robot capabilities
Building variants of Q network
Course Format
Duration:
9 hours on-demand video
Format:
Self-paced online course
Resources:
2 downloadable resources
Access on mobile and TV
Closed captions
Audio description in existing audio
Certificate of completion
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