Download Udemy - Practical Intro To Reinforcement Learning Using Robotics torrent

Udemy - Practical Intro To Reinforcement Learning Using Robotics

Torrent:	Udemy - Practical Intro To Reinforcement Learning Using Robotics
Description:	Practical Intro To Reinforcement Learning Using Robotics https://DevCourseWeb.com Genre: eLearning \| MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz Language: English \| Size: 2.47 GB \| Duration: 2h 40m Learn to build robots that can automatically learn to behave well in their environments without explicit instructions. What you'll learn Understanding the differences between Reinforcement Learning and the other AI paradigms. Identifying areas in robotics where Reinforcement Learning can be applied. Framing problems in robotics as Reinforcement Learning problems. Applying the Multi-Armed Bandit algorithm to help robots to automatically learn expected behaviours. Developing reward functions for Reinforcement Learning in robotic contexts. Using Python to control sensor and actuators on EV3 Mindstorms robots. Programming simple robots that can automatically learn the best actions to take in their environments. Understanding the multi-armed bandit algorithm. Balancing exploration and exploitation using various strategies. Requirements Be able to understand basic OOP programs in Python. Basic algebra skills. If you know how to add, subtract, multiply, and divide number, then you are fit for this course. Description Diving into Reinforcement Learning can seem daunting if you don't have the proper hands-on guidance. Many times, people have asked me whether they should master Deep Learning before delving into Reinforcement Learning and my answer has always been that "it depends on what you want to do with RL". RL is a broad domain in its own respect. There are classical RL algorithms that can be learned and applied without any Deep Learning experience. There is also Deep Reinforcement Learning which leverages neural networks to help RL agents to learn proper behaviors in their environment through trials-and-error with reward functions.
Downloads:	49
Category:	Other /Tutorials
Size:	2.5 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Practical Intro To Reinforcement Learning Using Robotics Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction.mp4 (105.6 MB) 2. RL Explained.mp4 (161.4 MB) 2. The RL Cycle 1. The RL Workflow.mp4 (232.1 MB) 3. RL In Robotics 1. Framing A Robotics Problem As RL.mp4 (242.9 MB) 4. The MAB Algorithm 1. Introducing The MAB Algorithm.mp4 (238.9 MB) 2. Rewards Definitions For MAB Problems.mp4 (101.0 MB) 3. Balancing Exploration & Exploitation.mp4 (302.7 MB) 5. Applying MAB In Robotics 1. Framing A Robot Behaviour As MAB.mp4 (270.7 MB) 2. Implementing MAB For The Robot.mp4 (123.5 MB) 3. Demonstrating Automatic Learning On The Robot.mp4 (116.9 MB) 6. Appendix 1. Installing EV3 MicroPython.mp4 (47.7 MB) 10. Running Motors For Set Times.mp4 (24.4 MB) 2. Installing The VS Code Extension.mp4 (19.5 MB) 3. Running Programs On The EV3.mp4 (106.5 MB) 4. Sensing Touch.mp4 (57.5 MB) 5. Waiting For Touch Events.mp4 (41.9 MB) 6. Controlling LED Lights.mp4 (45.9 MB) 7. Controlling The Motors.mp4 (159.7 MB) 8. Sweeping Angles At Specific Speeds.mp4 (89.1 MB) 9. Running Rotations At Specific Speeds.mp4 (48.9 MB) Bonus Resources.txt (0.4 KB) files
Added:	2022-03-04 10:03:40
Language:	English
Peers:	Seeders : 8 , Leechers : 7
Tags:	IT & Software Udemy
Release name:	Udemy - Practical Intro To Reinforcement Learning Using Robotics
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