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TORRENT DETAILS
Udemy - Practical Intro To Reinforcement Learning Using Robotics
TORRENT SUMMARY
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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.
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
105.6 MB
~Get Your Files Here !/1. Introduction/2. RL Explained.mp4
161.4 MB
~Get Your Files Here !/2. The RL Cycle/1. The RL Workflow.mp4
232.1 MB
~Get Your Files Here !/3. RL In Robotics/1. Framing A Robotics Problem As RL.mp4
242.9 MB
~Get Your Files Here !/4. The MAB Algorithm/1. Introducing The MAB Algorithm.mp4
238.9 MB
~Get Your Files Here !/4. The MAB Algorithm/2. Rewards Definitions For MAB Problems.mp4
101 MB
~Get Your Files Here !/4. The MAB Algorithm/3. Balancing Exploration & Exploitation.mp4
302.7 MB
~Get Your Files Here !/5. Applying MAB In Robotics/1. Framing A Robot Behaviour As MAB.mp4
270.7 MB
~Get Your Files Here !/5. Applying MAB In Robotics/2. Implementing MAB For The Robot.mp4
123.5 MB
~Get Your Files Here !/5. Applying MAB In Robotics/3. Demonstrating Automatic Learning On The Robot.mp4
116.9 MB
~Get Your Files Here !/6. Appendix/1. Installing EV3 MicroPython.mp4
47.7 MB
~Get Your Files Here !/6. Appendix/10. Running Motors For Set Times.mp4
24.4 MB
~Get Your Files Here !/6. Appendix/2. Installing The VS Code Extension.mp4
19.5 MB
~Get Your Files Here !/6. Appendix/3. Running Programs On The EV3.mp4
106.5 MB
~Get Your Files Here !/6. Appendix/4. Sensing Touch.mp4
57.5 MB
~Get Your Files Here !/6. Appendix/5. Waiting For Touch Events.mp4
41.9 MB
~Get Your Files Here !/6. Appendix/6. Controlling LED Lights.mp4
45.9 MB
~Get Your Files Here !/6. Appendix/7. Controlling The Motors.mp4
159.7 MB
~Get Your Files Here !/6. Appendix/8. Sweeping Angles At Specific Speeds.mp4
89.1 MB
~Get Your Files Here !/6. Appendix/9. Running Rotations At Specific Speeds.mp4
