Explanation
Interest Driven by Deep Reinforcement Learning If reinforcement learning is to serve as a viable path to general artificial intelligence, it must learn to adapt to environments with little or no reward. Most real-life systems only provide rewards that occur over time steps, leaving the agent with little information to construct a successful policy. Interest based reinforcement learning solves this problem by giving the agent an illusion of interest in its world, which enables it to explore and learn successful policies to navigate the world. In this advanced course in deep reinforcement learning, motivated students will learn how to implement artificial intelligence research papers from scratch. This is a crash course for those who have experience casting their own voice acting critics. We will write two papers in this course, using the popular PyTorch framework.
The first paper covers asynchronous methods of deep reinforcement learning; also known as the popular asynchronous actor critic algorithm (A3C). Here students will discover a new way of learning that does not require a GPU. We’ll learn how to implement multiple reads in Python and use that to train multiple character recognition agents in parallel. We will go beyond the basic implementation of the paper and implement a recent development in reinforcement learning called general benefit estimation. We will test our Pong environment agents in the Open AI Gym’s Atari library, and achieve near world-class performance in a few hours.
What will you learn?
- How to Vote for A3C Representatives
- How to do Parallel Processing in Python
- How to Carry out In-depth Reinforcement Learning Papers
- How to Code Internal Interest Module
Who is this course for?
- This course is designed for advanced students with a deeper emphasis on learning
Special interest driven by deep learning
- Publisher: Udemy
- Teacher: Phil Tabor
- Language : English
- Level: Expert
- Number of courses: 25
- Duration: 3 hours and 45 minutes
Content 2023-7
Requirements
- Experienced in casting agents for character critics
Pictures
Sample Clip
Installation Guide
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Subtitle: English
Quality: 720p
Download Links
Password file: free download software
file size
1.6GB