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RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning

Google DeepMind

940K subscribers • 4 videos on Hallway

YouTube
  • Recommended by 10 people: 9 on Hacker News and 1 curated list.
  • A classic. People kept recommending it from 2017 to 2025.
  • Presented by David Silver, DeepMind researcher
  • May be out of date. Uploaded 11 years ago, in an area where tools change fast.

Beginner. No background in the topic needed.

1.9M views11 years ago10 recommendations

AI and machine learningComputer scienceReinforcement learningNeural networks and deep learningMath for machine learning

David Silver introduces the core concepts of reinforcement learning, including agents, environments, and rewards, based on the Sutton and Barto textbook.

#Reinforcement Learning Course by David Silver# Lecture 1: Introduction to Reinforcement Learning

Why it's here

10 people recommend this

What people say. Highly recommended as the definitive introductory video course for learning the fundamentals of reinforcement learning.

colmvpon Hacker News • Recommends

On “ACM Prize in Computing Awarded to AlphaGo Developer”

I almost knew exactly who it was going to be when they mentioned AlphaGo Developer. For those who aren't that well versed in RL, I recommend watching his lectures at UCL ( link to this video ). Really clear explanations that went hand in hand when I was reading Sutton and Barto's introductory book.

briandwon Hacker News • Recommends

On “Q-learning is not yet scalable”

This papers assumes that you know quite a bit about RL already. If you really want to dig into RL, this intro course from David Silver (Deep Mind) is excellent: link to this video

cs-video-coursescurated list on GitHubRecommends

Under “Machine Learning”

UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind (YouTube)

deepneton Hacker News • Recommends

On “Ask HN: Best books on AI?”

Sutton & Barto's Reinforment Learning complete this triumvirate link David Silver's Reinforcement Course is based on Sutton & Barto link to this video

magoghmon Hacker News • Recommends

On “Mastering Chess and Shogi by Self-Play with General Reinforcement Learning”

You can check this Reinforcement Learning Course by David Silver on YouTube: link to this video By the way, I believe David Silver was the lead programmer for AlphaZero.

igraviouson Hacker News • Recommends

On “Ask HN: Best introductory video courses on ML and Deep Learning?”

fast.ai Making neural nets uncool again. fast.ai is dedicated to making the power of deep learning accessible to all.0 Udacity. Intro to Machine Learning: Pattern Recognition for Fun and Profit1 MIT 6.S099: Artificial General Intelligence2 Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department of Computer Science & Engineering, Indian Institute of Technology, Kharagpur3 DeepMind. Reinforcement Learning Course by David Silver4 Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition.5 0 link 1 link 2 link 3 link 4 link to this video 5 link

crisbal_on Hacker News • Recommends

On “Reinforcement Learning – Bandit Problems”

As someone who is doing his bachelor thesis on Reinforcement Learning this is some useful information. OT (but not really) question: does anyone here use Reinforcement Learning techniques at work? For the thesis I am working on black-box optimization of 2 variable functions with Reinforcement Learning (and comparing it with Bayesian Optimization techniques). As someone else suggested the Sutton & Barto book is really great knowledge but I would also like to suggest these lessons ( link to this video ) by David Silver (who worked on AlphaGo)

visargaon Hacker News • Recommends

On “Philosophy Has Made Plenty of Progress”

The notions of agent, environment and reward are encountered in Reinforcement Learning which is a sub-field of ML but also relevant to biological agents. There is a great RL course on YouTube by David Silver (one of the creators of AlphaGo, which is probably the most famous application of RL so far). link to this video The course can properly set the perspective of RL and shed new light on the philosophy of mind, if you take what it says and then extrapolate to humans and other agents. What I find fascinating about RL is that it can be defined concretely. Consciousness can only be defined by reference to other words, in a less exact and concrete way. RL can also explain how meaning appears, based on fu…

alkhatibon Hacker News • Recommends

On “Dopamine framework: Fast prototyping of reinforcement learning algorithms (2018)”

I came across this a few days ago: For Reinforcement Learning specifically, the standard text is Reinforcement Learning: An Introduction1. Dave's UCL Course on RL2 is great too (playlist of all lectures)3. Source: Julian Schrittwieser works on Deepmind at Google link 1 link 2 link 3 link to this video

colmvpon Hacker News • Recommends

On “Reinforcement Learning: An Introduction (2018) [pdf]”

I also recommend interested people to watch David Silver's RL lectures at UCL on YouTube. He covers material from the book. link to this video

confuseshrinkon Hacker News • Recommends

On “Powerful AI Can Now Be Trained on a Single Computer”

I would start with David Silvers (DeepMind) youtube series to get an idea of what's possible or not. Running an already trained reinforcement learning agent is relatively cheap (unless your model is massive). I suspect the reason people aren't using it yet is because it's a) really difficult to get right in training, even basic convergence is not guaranteed without careful tuning b) really difficult to guarantee reasonable behavior outside of the scenarios you're able to reach in QA. edit: Link to lecture series link to this video

u/wally_fishin r/compsci • Mentions

On “Suggestions for equivalent to teachyourself.com for Machine Learning and AI?”

…es of googling): \- Any good **Linear Algebra** introduction e.g. MIT LinAlg https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/ (multidimensional calculus helps too, but don't get scared by it) \- Any good introduction on **Data Science** MIT OCW Introduction to Computational Thinking and Data Science [video Andrew Ng's **Machine Learning** Course [video \- **Computer Vision** with Deep Learning by Fei-Fei Li http://cs231n.stanford.edu/2019/ \- **Natural Language Processing** with Deep Learning by Chris Manning http://web.stanford.edu/class/cs224n/ \- **Reinforcement Learning** by David Silver [video This will giv…

aaneton Hacker News • Mentions

On “A Man Behind AlphaGo Thinks AI Is Taking the Wrong Path”

Not "A Man Behind AlphaGo..." but rather "The Man Behind AlphaGo..." On David Silver's Ineffable Intelligence startup and their $1 Billion (!) seed round (!!) His RL lectures 1 are quite popular 2 1 link 2 link to this video

u/Give_Me_A_Chequein r/compsci • Mentions

On “Tips for a CS student into AI”

…googling every bit you don't understand until you understand it as well as you can, then you'll be an AI expert like the rest of them, I think it really is as simple as that Ah and also read CS papers in neural nets research as well, like this one that was published on AlphaGo https://www.nature.com/articles/nature24270 Also checkout stuff like: link to this video In general, I think you should pick educational resources that have been produced by people who know what they are doing, as evidenced by their work. Or look at what they have to say about learning the topic.…