Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games

What you’ll learn
How to read and implement deep reinforcement learning papers
How to code Deep Q learning agents
How to Code Double Deep Q Learning Agents
How to Code Dueling Deep Q and Dueling Double Deep Q Learning Agents
How to write modular and extensible deep reinforcement learning software
How to automate hyperparameter tuning with command line arguments

Requirements
Some College Calculus
Exposure To Deep Learning
Comfortable with Python

Description
Who this course is for:
Python developers eager to learn about cutting edge deep reinforcement learning

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