Modern Reinforcement Learning: Deep Q Learning in PyTorch
Ditulis pada: January 31, 2021
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Modern Reinforcement Learning: Deep Q Learning in PyTorch, How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games
- Created by Phil Tabor
- English
- English [Auto-generated]
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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
More Courses by Phil Tabor
How to Implement Cutting Edge Artificial Intelligence Research Papers in the Open AI Gym Using the PyTorch Framework