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

How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games
4.36 (1091 reviews)
Udemy
platform
English
language
Data Science
category
Phil Tabor
instructor
Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)
6 522
students
7 hours
content
Aug 2023
last update
$74.99
regular price

What you will 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

Screenshots

Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) - Screenshot_01Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) - Screenshot_02Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) - Screenshot_03Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) - Screenshot_04
Related Topics
2662326
udemy ID
19/11/2019
course created date
07/01/2020
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