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Reinforcement Learning - Developing Intelligent Agents

Deep Learning Course 6 of 7 - Level: Advanced

Build Deep Q-Network - Reinforcement Learning Code Project

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Building a Deep Q-Network in Code

Welcome back to this series on reinforcement learning! In this episode, we'll get started with building our deep Q-network to be able to perform in the cart and pole environment. Let's get to it!

After following the environment prep we covered last time, we're now ready to start writing our code. We'll be making use of everything we've learned about deep Q-networks so far, including the topics of experience replay, fixed Q-targets, and epsilon greedy strategies, to develop our code.

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Welcome back to this series on reinforcement learning! In this episode, we'll get started with building our deep Q-network to be able to perform in the cart and pole environment. We'll be making use of everything we've learned about deep Q-networks so far, including the topics of experience replay, fixed Q-targets, and epsilon greedy strategies, to develop our code. Sources: Reinforcement Learning: An Introduction, Second Edition by Richard S. Sutton and Andrew G. Bartow http://incompleteideas.net/book/RLbook2020.pdf Playing Atari with Deep Reinforcement Learning by Deep Mind Technologies https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf πŸ•’πŸ¦Ž VIDEO SECTIONS πŸ¦ŽπŸ•’ 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:30 Help deeplizard add video timestamps - See example in the description 16:21 Collective Intelligence and the DEEPLIZARD HIVEMIND πŸ’₯🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎πŸ’₯ πŸ‘‹ Hey, we're Chris and Mandy, the creators of deeplizard! πŸ‘€ CHECK OUT OUR VLOG: πŸ”— https://youtube.com/deeplizardvlog πŸ’» DOWNLOAD ACCESS TO CODE FILES πŸ”— https://deeplizard.com/resources ✨ Support collective intelligence, join the deeplizard hivemind for exclusive rewards: πŸ”— https://deeplizard.com/hivemind 🧠 Use code DEEPLIZARD at checkout to receive 15% off your first Neurohacker order: πŸ”— https://neurohacker.com/shop?rfsn=6488344.d171c6 ❀️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Tammy Mano Prime Ling Li πŸ‘€ Follow deeplizard: Our vlog: https://youtube.com/deeplizardvlog Facebook: https://facebook.com/deeplizard Instagram: https://instagram.com/deeplizard Twitter: https://twitter.com/deeplizard Patreon: https://patreon.com/deeplizard YouTube: https://youtube.com/deeplizard πŸŽ“ Deep Learning with deeplizard: Deep Learning Dictionary - https://deeplizard.com/course/ddcpailzrd Deep Learning Fundamentals - https://deeplizard.com/course/dlcpailzrd Learn TensorFlow - https://deeplizard.com/course/tfcpailzrd Learn PyTorch - https://deeplizard.com/course/ptcpailzrd Natural Language Processing - https://deeplizard.com/course/txtcpailzrd Reinforcement Learning - https://deeplizard.com/course/rlcpailzrd Generative Adversarial Networks - https://deeplizard.com/course/gacpailzrd πŸŽ“ Other Courses: DL Fundamentals Classic - https://deeplizard.com/learn/video/gZmobeGL0Yg Deep Learning Deployment - https://deeplizard.com/learn/video/SI1hVGvbbZ4 Data Science - https://deeplizard.com/learn/video/d11chG7Z-xk Trading - https://deeplizard.com/learn/video/ZpfCK_uHL9Y πŸ›’ Check out products deeplizard recommends on Amazon: πŸ”— https://amazon.com/shop/deeplizard πŸ“• Get a FREE 30-day Audible trial and 2 FREE audio books using deeplizard's link: πŸ”— https://amzn.to/2yoqWRn 🎡 deeplizard uses music by Kevin MacLeod πŸ”— https://youtube.com/channel/UCSZXFhRIx6b0dFX3xS8L1yQ πŸ”— http://incompetech.com/ ❀️ Please use the knowledge gained from deeplizard content for good, not evil.

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