Udemy - Curiosity Driven Deep Reinforcement Learning torrent

Curiosity Driven Deep Reinforcement Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 25 lectures (3h 45m) | Size: 1.59 GB
How Agents Can Learn In Environments With No Rewards
What you'll learn:
How to Code A3C Agents
How to Do Parallel Processing in Python
How to Implement Deep Reinforcement Learning Papers
How to Code the Intrinsic Curiosity Module

Requirements
Experience in coding actor critic agents

Description
If reinforcement learning is to serve as a viable path to artificial general intelligence, it must learn to cope with environments with sparse or totally absent rewards. Most real life systems provided rewards that only occur after many time steps, leaving the agent with little information to build a successful policy on. Curiosity based reinforcement learning solves this problem by giving the agent an innate sense of curiosity about its world, enabling it to explore and learn successful policies for navigating the world.

In this advanced course on deep reinforcement learning, motivated students will learn how to implement cutting edge artificial intelligence research papers from scratch. This is a fast paced course for those that are experienced in coding up actor critic agents on their own. We'll code up two papers in this course, using the popular PyTorch framework.