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UPDATE:
All the code and installation instructions have been updated and verified to work with Pytorch 1.6 !!
Artificial Intelligence is dynamically edging its way into our lives. It is already broadly available and we use it – sometimes even not knowing it – on daily basis. Soon it will be our permanent, every day companion.
And where can we place Reinforcement Learning in AI world? Definitely this is one of the most promising and fastest growing technologies that can eventually lead us to General Artificial Intelligence! We can see multiple examples where AI can achieve amazing results – from reaching super human level while playing games to solving real life problems (robotics, healthcare, etc).
Without a doubt it’s worth to know and understand it!
And that’s why this course has been created.
We will go through multiple topics, focusing on most important and practical details. We will start from very basic information, gradually building our understanding, and finally reaching the point where we will make our agent learn in human–like way – only from video input!
What’s important – of course we need to cover some theory – but we will mainly focus on practical part. Goal is to understand WHY and HOW.
Specification: Reinforcement Learning with Pytorch
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2 reviews for Reinforcement Learning with Pytorch
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| Price | $16.99 |
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| Provider | |
| Duration | 7 hours |
| Year | 2020 |
| Level | Beginner |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
Peter Farrell –
I like how he walks through the programs and builds up from the previous programs! Some theory but then it’s translated into code
Maurice ten Koppel –
great hands on introduction to reinforcement learning on open ai gym environments. The course starts with simple games, introducing principles gently but builds up to a more complicated game and introducing further principles required to solve it. Finally, Pong is solved using reinforcement learning. What I like esspecially about this course is the gradual build up of complexity. You truely get to appreciate the advanced techniques (introduced by deepmind only a couple of years ago!) in simple terms. Simple terms is of course relative, you still need to have your brain active and it does take some effort to really understand what is going on. I can recommend this course to anyone who learns from an hands on approach.