Practical Intro To Reinforcement Learning Using Robotics
Learn to build robots that can automatically learn to behave well in their environments without explicit instructions.
4.91 (11 reviews)
86
students
2.5 hours
content
Feb 2022
last update
$44.99
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What you will 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.
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4557472
udemy ID
2/18/2022
course created date
3/9/2022
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