Our next Introduction to Reinforcement Learning cohort is live on Monday!
Join us at the link below to learn to build AIs through live games
https://t.co/nZReAvtVNa
Finally found a gap in schedule to join @Delta_Academy_.
Let's have some fun and learn about Reinforcement Learning.
If you're interested in doing the same, reply. I'm happy to share my feedback as I go. It lasts for 4 weeks.
A new Intermediate Reinforcement Learning course kicks off this week!
There's still time to join - you'll learn to build AIs using algorithms up to AlphaGo π
For a taster, check out the Tron AI below, built by a student using Monte Carlo Tree Search
https://t.co/IoSKuoiuRd
The boom in AI we are seeing was kicked off by DeepMind's DQN algorithm, which conquered Atari games.
But it turns out, it's pretty tricky to train
We dig into why and give you the tricks that were needed to get it to work
https://t.co/YJhFgMIFrh
You may have heard that you have a learning style.
Well, it turns out there is little concrete evidence that you do - it's probably a myth
We dig into why this myth spreads, and what it shows about how we think about learning
https://t.co/SosaCDTitN
Trying to learn a new skills?
Though it's counterintuitive, it's best to dive right in the deep end.
Our co-founder @Phillips_M_G outlines why, and how Delta Academy is built to capture the best of doing so
https://t.co/BVhVcEqBtP
What if we could speed up learning?
It turns out, we can. A project by the US DARPA program showed we can increase learning rate by 2 standard deviations using a digital tutor
We dig into the study and it's implications
https://t.co/6eqn2KcWtk
When learning a new skill, it's best to dive in deep
We're building 'Immersive learning experiences' - the most effective way to learn skills
https://t.co/BVhVcEIcln
Learn Reinforcement Learning live with Delta Academy.
Each week, build an AI that competes live against peers, guided by experts from Oxford, Cambridge and DeepMind.
Join our next 4 week cohort today.
Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/
Maybe my favorite AI generated video so far. Prompt: "A fluffy baby sloth with an orange knitted hat trying to figure out a laptop, close up, highly detailed, studio lighting, screen reflecting in its eye.mp4"
killer work @MetaAI !!
Our latest Introduction to Reinforcement Learning competition: Connect 4!
The teams built AIs using feature vectors
Congratulations to Team Sam on their victory π
You can play against the different AIs in the thread below ππ§΅
https://t.co/WPH8AcGRIE
What a finale to the Tron competition tonight!
The teams were implementing Monte Carlo Tree Search - a method for planning.
Check out the Blue teams finishing move ππ₯
https://t.co/j8LwItmRN1
If you want to dive deeper, follow to stay in touch with future threads.
You can also join a Delta Academy 4 week course. Each week you build an AI that competes live against a cohort in iconic games
Our intro course goes from 0-to-DQN, join here:
https://t.co/ekaF5Xpa6b
Reinforcement Learning can seem daunting - but it's a really powerful way to build AIs
It's way easier with short tutorials and interactive exercises in #Python
Let's go through the 1st of our Introduction to Reinforcement Learning (RL) tutorials, tweet-by-tweet π§΅π
Conclusions:
RL solves sequential decision problems. They are set up as MDPs, with states, actions and rewards.
It aims to find the optimal policy
In the next thread, we'll start to look at the representations for finding this optimal policy
https://t.co/Gnm7ld6M29