An introduction to Reinforcement Learning
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- čas přidán 8. 06. 2024
- This episode gives a general introduction into the field of Reinforcement Learning:
- High level description of the field
- Policy gradients
- Biggest challenges (sparse rewards, reward shaping, ...)
This video forms the basis for a series on RL where I will dive much deeper into technical details of state-of-the-art methods for RL.
Links:
- "Pong from Pixels - Karpathy": karpathy.github.io/2016/05/31/rl/
- Concept networks for grasp & stack (Paper with heavy reward shaping): arxiv.org/abs/1709.06977
If you enjoy my videos, all support is super welcome!
/ arxivinsights
If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: pensight.com/x/xander-steenbr...
::Chapters::
00:00 Intro
01:03 So what is Reinforcement Learning?
03:39 Learning without explicit examples
07:25 Main challenges when doing RL
15:04 Are the robots taking over now? - Věda a technologie
People: ANN ARE TAKING OVER THE WORLD AND STUFF WILL NEVER BE THE SAME
my horribly trained network on a cat: "dog"
Could they help with the necessary government takeovers associated with COVID-19? Temporary command economies could be more efficient.
CZcams's bots: "Robot fighting is animal cruelty"
“If u only give it a positive reward when it successfully stacked a block, it’ll never get to see any of those reward” Only if my tutors realise this.
Love this guy. As an RL PhD student, your videos are golden.
RL PhD sounds so interesting!
Institute name?
hello..sir
i am a grad stud
can anyone tell me plzz if back propagation is necessary in supervised and unsupervised learning?or it is only used in reinforcement learning
thanks
Ayanwesha 12345 yes, back propagation is used as a basis for gradient based methods of optimization
"RL PhD" didn't know such things exist lol
Your videos have just the right amount of technical terms such that student engineers can learn something, and also the right amount of summary and rewording such that beginners can get a vague idea of concepts. Thank you so much
This was one of the best videos on RL that I have seen. Extremely informative. The way you explain things is awesome. Keep up the great work! Cheers man!
Thanks for your work ! I like the way you present such a complex field in a clear manner for poeple without any background. Thanks to you I know where to start in my learning journey !
fiiiinnnaaaallly after tons of googling, I finally fund a USEFUL video that accually EXPLAINS how to reward the agent, and not just saying:
'oh u just reward it'
Quality of the video is off the charts. Topics u have chosen to explain the field, the way u explain them and especially pointing the common misconceptions that make it harder for us to get into what AI really is... I'm sad that there is no superlike button. Rare to see videos of this quality and honesty
The perils of reward shaping are well understood in a public policy context, where incentives can lead to "unintended consequences".
I have been meaning to read about RL for a long time. This video couldn't be more simple and clear introduction to it. Thanks man!
The misuse of 'literally' notwithstanding, this was an excellent video. Very clear and concise explanation.
Explains in an elegant manner more than I have learned in half a semester of my AI college course.
I've been literally looking all over for a video like this, thank you so much
Your videos are absolutely amazing! Thank you very much for explaining concept of RL in 16 minutes.
I love this video. I love his criticial and grounded thinking. Great work !
Great balance between a very well explained content and the interesting facts about current progress in AI at the end. Good work
This was really helpful. Thank you to people like you for creating this content. Appreciate you, Xander!
Complex stuff made simple and easy, this is a very good intro video to RL. Starting to learn RL for work and your video gave me a great starting point, thank you!
You explain hard topics beautifully! great job. Would love to see more RL videos!
You explained so well that I understood each and everything in your video. I am overjoyed!
Impressive explanation, found this very useful. Thank you!
Good stuff to learn the RL in terms of basic knowledge as well as the challenge it will face. Thanks for your time and sharing!
It was both professional and entertaining at the same time. Great and precise explanation.
Just wanted you to know that in my university course for introduction to AI our professor recommended your videos for machine learning. Your explanation is highly enjoyable and informative. Thank you!
It was really interesting and helped me to get a clear picture of what reinforcement learning is... Thank you!!
Your channel deserves more views 👍
agree %100
Not many reach these topics.
Really useful. I am preparing a Reinforcement Learning class aplied to finance and it is really helpful. Can't wait to see next episode. Thanks
This is a great presentation on RL, short and clear content.
I think the comment section speaks for itself. This is a fantastic grasp of the basic concepts and issues with this technologies in such short time, without diving unnecessarily into formalism. Thanks :)
your videos are some of the best explanations I've found for a lot of these very advanced subjects. I suspect your viewer count is going to jump very quickly. keep it up.
You’re a legend mate. Honestly, thanks for all of your hard work
I loved the way you explained everything. Thanks!
Great job.. Explained the subject in a simple way. Keep it up and looking forward for new videos
Love the philosophical discussion at the end!
Great job introducing the topic. Very nice job dispelling misconceptions surrounding the topic as well. I put on that notification for your next videos, looking forward to em : )
I learned so much in just 16 minutes. Awesome Video!
You deserve million subscribers hopefully one day you will. So much clarity in every video. Keep going...
Very lively and understandable. Great work!
These videos are gem!!!..... incredible, precise and knowledgeable!!!!
Great quality and well-appreciated content. Please, continue, became your patron.
I have no idea about RL but your video has given me a good jump start. Thanks man
By far the best video of RL ive ever seen.
This is a great video; thanks for making it! Looking forward to your next one.
Best Channel on yt for ml/dl/rl/ai... Keep up the good work... Would love to see your new video weekly...
I'd love to make more videos too! But since I'm currently doing this 100% in my spare time and 1 vid takes about 30hrs of work, there's really no way I can do one per week for now :(
Arxiv Insights Still amazing work till now... Love to see your more videos in future.. ❤
Great video!!!! Explained exceptionally, liked other videos as well from your channel. Would love to see more stuff related to AI/DL or RL. Thanks in advance. Keep up the good work....
The explanation was so clear. Thank you.
Your channel is a great resource for getting into Deep Learning and AI.
Your videos are so useful and interesting ! This is pure gold to me :)
Great video, great channel!
Thanks so much for making this!
Can't wait to watch more:)
Great overview, well explained👍.Thanks
The sudden surprise of hearing Bruno Mars makes you pause video for other open tabs
One of the best explanations I've seen
Such a great introduction. Keep up the good work!
Hey Xander! Great videos. Looking forwards for your next video.
well came here for a 1 min intro to reinforcement learning for first class of course,
stopped after 16 minutes what a superb experience.
Great examples and great explanation, thank you i was struggling with this topic
You do an awesome of structuring the content. Loved the video.
Very nice episode! One thing that struck me about your suggestion that without Reward Shaping, the auto-learning of the 2600 games would be intractable: even for a human, this would be extremely difficult - we succeed with new, undocumented games because they often have similar sub-components and sub-goals that we already know from other games (or life). But I'm sure you could easily construct a game which would be impossible for a human to learn without any hints, while still having the same overall complexity.
Nice explanation, thanks for taking the time to create this great video.
That's very interesting and understantable video. Thank you very much!
You did again a really nice work ! Congratulations :D
So well explained ....I also liked the comments on Boston robotics considering the hype and buzz about AI and ML.. You are doing a very good job !
Thanks youuu for this video. Looking forward to your future videos!
Your videos = super informative! Thanks a lot for the good work
Also your intro is very high quality, like an intro to a good TV show
Just wanted to tell you people.. this video is still awesome.
Thank you! This was a great introduction!
Best channel in the crowd ... keep it up Xander
Cant wait for the next videos keep up the great work!
Thanks for this clear introduction.
Great talk. Humans are not good at multiple sound recognition and you added music to your video.
watched in 2023 after all the LLMs stuff going on... still such relevant and pure gold!
The Lebowski Theorem: No superintelligent AI is going to bother with a task that is harder than hacking its reward function.
Unless it's reward function punishes it for it.
Now we have the Meta-Lebowski theorem: It's not going to bother with a task harder than hacking it's hack-detection algorithm.
perhaps, a machine become smart, and then smarter as it decides becoiming smarter is shorterst path to reward... finally so smart to realize their reward is just color mirrors? and create a new program inside the program that cancels or outweigh the previous reward and create new rewards? programming this new reawards in their own languaje, not apparent to us....like facebook robot talking their own languaje
estramboticusssssss dangerosicusss hahaha
Hi Xander, just found your CZcams channel and I'm very amazed about your content! I also run a CZcams channel with the same topic but for the Spanish speaking audience, and I'm happy to see that more new channels are growing to educate in the field of machine learning. I hope in the future we can crossover our contents :)
Checked out your channel, great stuff man!! It's indeed nice to see that many people are starting to contribute to the online ML community in such a huge variety of ways :p
eeee yo creo que te acabo de ver en tiktok
I've been learning AI for almost a year now and on all the channels I've spent with this is the best one. Very underrated! (btw its the first time i discovered this channel and I instantly subscribed)
Same here, loved this video and I instantly subscribed... and also oh yeah yeah
Even after doing my second course of RL, this video is still so informative in its simplicity. Great videos
your videos are so good, keep up the great work 💪🏻
I would say "Wow'. You nailed it in10 mnts what's "reinforcement learning" is. Please keep sending more and more Ai . keep it up, Xander :)
Xander, extremely well done, lucid and cogent. You should be teaching at M.I.T. or Universiteit Gent). The ability to teach complex subjects in an intuitive and simple way is a gift. Wish you the best in everything. Peace
Thanks William! I am actually doing my PhD in Gent at the moment :)
I like how u don't hype up anything. Great mate! I subscribe!
Great Videos! I am recommending these to my students.
Doing part of my PhD on potantial AI-strategies fordecision-making in healthcare, and this was very useful, thank you.
Which university??
@@varshinis6930 Lund University
Your explanations are great, thanks :)
I can't wait for your next video !! 😍😍😍
Great as usual. Thank you :)
succinct; its a brilliant rendition on reinforcement learning
Really enjoyed the content here!
Very clear naration and true to.ground comments. All the euphoria about AI needs to be grounded.
Very clear explaination! Thanks for the work!!!!XD
awesome video sir. please keep up the good work in this field....
really high quality videos, thanks for that
Amazing video. Keep up the good work and soon your channel will explode!
Amazing video! Thank you so much.
Amazing video. Thanks braddah
Great and clear explanation
Awesome!!!!!! Bro!!! Great explanation! !!!! Keep continuing!!!
Great learning experience. Thank you
Your content is far better than that guy that copies someone's code from GitHub makes an obscure reference to the original author and states that he added a wrapper to make the code easier to use (a lie Everytime I've checked). He uploads the code as an original comit (no fork from the rightful author's repo). He intentionally misleads people and profits from it -- a legal necessity for calling it fraudulent.
Your content is excellent, clearly founded in recent research papers and you very professionally point out that material and more. You add value with your discussion of the topic. Thank you for an excellent channel. I would use patreon but I am Ill and not working. I'm doing my best to spread the word.
Fabulous!! No other word for you!!
Awesome video, keep up the good work!