Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

how to learn something from the first principles (with a live demo on reinforcement learning)

Ajeet ( opensox.ai )

16,268 subscribers

232,836 просмотров • 2 месяцев назад •via X (Twitter)

Образование Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

#Jaguars HC Liam Coen on how Bhayshul Tuten is looking: “He put the ball on the ground today, that kinda stands out… Good learning experience, first time in a live setting in the National Football League on your first carry — hopefully you learn something from that moment.”

#Jaguars HC Liam Coen on how Bhayshul Tuten is looking: “He put the ball on the ground today, that kinda stands out… Good learning experience, first time in a live setting in the National Football League on your first carry — hopefully you learn something from that moment.”

The Coachspeak Index

1,247,694 просмотров • 1 год назад

Learn how to use G-PAD's from with a guest cameo from SuperHorrorBro Play the brand new demo on Steam today!

Don't Fret - NEW DEMO OUT NOW!

22,840 просмотров • 1 месяц назад

how to understand a codebase from the first principles. (example with a real production codebase)

how to understand a codebase from the first principles. (example with a real production codebase)

Ajeet ( opensox.ai )

25,013 просмотров • 2 месяцев назад

We are delighted to announce that the Animator’s Survival Kit Animated is now live on Bloomsbury Video Library: Learn the principles of sophisticated animation with videos from multi-Oscar winner Richard Williams, available to stream for the first time.

We are delighted to announce that the Animator’s Survival Kit Animated is now live on Bloomsbury Video Library: Learn the principles of sophisticated animation with videos from multi-Oscar winner Richard Williams, available to stream for the first time.

Bloomsbury Digital Resources

22,150 просмотров • 1 год назад

Robot policies must be both reliable and highly capable to be useful; the best way to achieve this level of performance is with reinforcement learning. However, for reinforcement learning you are usually stuck between two difficult options: reinforcement in the real world is often risky and expensive, while reinforcement learning in a traditional simulator takes a lot of engineering work and has a persistent sim-to-real gap. What if instead you could train your robot purely in a world model? RISE by Jiazhi Yang et al. uses a compositional world model to predict the future and evaluate progress. This allows for a self-improving pipeline, which learns a world model from real data and then learns how the robot should perform different tasks. This pipeline results in a data-driven way to improve policy performance from real data but without real-world reinforcement learning. Watch Episode #86 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!

Robot policies must be both reliable and highly capable to be useful; the best way to achieve this level of performance is with reinforcement learning. However, for reinforcement learning you are usually stuck between two difficult options: reinforcement in the real world is often risky and expensive, while reinforcement learning in a traditional simulator takes a lot of engineering work and has a persistent sim-to-real gap. What if instead you could train your robot purely in a world model? RISE by Jiazhi Yang et al. uses a compositional world model to predict the future and evaluate progress. This allows for a self-improving pipeline, which learns a world model from real data and then learns how the robot should perform different tasks. This pipeline results in a data-driven way to improve policy performance from real data but without real-world reinforcement learning. Watch Episode #86 of RoboPapers, with Chris Paxton and Jiafei Duan, to learn more!

RoboPapers

38,334 просмотров • 1 месяц назад

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai

Its nice to see the recent excitement around Q-learning! Here's a clip from a video all about Deep Reinforcement Learning, including Deep Q Learning #machinelearning #ai

Steven Brunton

164,997 просмотров • 2 лет назад

I trained a humanoid robot to play famous anime openings on the piano with reinforcement learning (Attack on Titan, Evangelion, SAO, and more) how I did it + surprising discoveries in thread🧵

I trained a humanoid robot to play famous anime openings on the piano with reinforcement learning (Attack on Titan, Evangelion, SAO, and more) how I did it + surprising discoveries in thread🧵

anandmaj

24,589 просмотров • 1 год назад

John Mayer’s approach to learning the guitar is a 104-second masterclass on how to learn anything:

John Mayer’s approach to learning the guitar is a 104-second masterclass on how to learn anything:

Billy Oppenheimer

783,788 просмотров • 3 лет назад

How To Turn A Girl On (Live Demo)

Sensitive content

How To Turn A Girl On (Live Demo)

PWF | Dating Expert

91,065 просмотров • 1 месяц назад

Neural networks explained from first principles: how simple linear pieces combine into richer models, and why layered representations make machine learning more powerful. MIT OpenCourseWare, 6.036 Introduction to Machine Learning, Fall 2020.

Neural networks explained from first principles: how simple linear pieces combine into richer models, and why layered representations make machine learning more powerful. MIT OpenCourseWare, 6.036 Introduction to Machine Learning, Fall 2020.

tetsuo

10,720 просмотров • 1 месяц назад

6/ Josh on learning from others. He explains a visualization technique to 100x your learning curve. How fast could we learn if we harnessed this to its full potential?

6/ Josh on learning from others. He explains a visualization technique to 100x your learning curve. How fast could we learn if we harnessed this to its full potential?

Martin

50,493 просмотров • 1 год назад

Reinforcement learning experiments continues. Still a bit janky, but it is clearly learning something. This is about an hour into training.

Reinforcement learning experiments continues. Still a bit janky, but it is clearly learning something. This is about an hour into training.

Dennis Gustafsson

22,642 просмотров • 11 месяцев назад

notes on my reinforcement learning for rocket league side quest so far: i’m in awe that — we live in a time where i can train a reinforcement learning model that is learning to play rocket league and at the same time, test community made rocket league models. where, both processes can run in parallel & locally on my hardware. in the game window — i’m playing against a reinforcement learning ppo model that’s running locally. and in the vscode window — i’m training my own reinforcement learning model (just a dummy example script for now). also, the rocket league botting ecosystem has incredible tooling where you can test out different reinforcement learning ideas against other algorithms + it has great documentation for linux and windows. it’s honestly a beautiful hidden gem of a rabbit hole :)

notes on my reinforcement learning for rocket league side quest so far: i’m in awe that — we live in a time where i can train a reinforcement learning model that is learning to play rocket league and at the same time, test community made rocket league models. where, both processes can run in parallel & locally on my hardware. in the game window — i’m playing against a reinforcement learning ppo model that’s running locally. and in the vscode window — i’m training my own reinforcement learning model (just a dummy example script for now). also, the rocket league botting ecosystem has incredible tooling where you can test out different reinforcement learning ideas against other algorithms + it has great documentation for linux and windows. it’s honestly a beautiful hidden gem of a rabbit hole :)

naklecha

46,795 просмотров • 1 год назад

4/ Claude Voyager -🏅Code award Claude connected to a code environment that enables it to create its own tools on the fly Live demo of Claude learning how to query Stripe on its own

4/ Claude Voyager -🏅Code award Claude connected to a code environment that enables it to create its own tools on the fly Live demo of Claude learning how to query Stripe on its own

Alex Reibman 🖇️

11,179 просмотров • 1 год назад

i trained a reinforcement learning agent to play diablo 1 in a few hours with pufferlib

i trained a reinforcement learning agent to play diablo 1 in a few hours with pufferlib

Dan Advantage

41,954 просмотров • 8 месяцев назад

A step by step tutorial on Recursion. Learn how to inscribe from a homie. The full version will be live: on Beta soon!!!

A step by step tutorial on Recursion. Learn how to inscribe from a homie. The full version will be live: on Beta soon!!!

8Bit🍊

35,078 просмотров • 2 лет назад

Learning something new 👀 Kimi and George learn how to write their names in Arabic, and a few phrases too! 🗣️

Learning something new 👀 Kimi and George learn how to write their names in Arabic, and a few phrases too! 🗣️

Mercedes-AMG PETRONAS F1 Team

121,476 просмотров • 1 год назад

At Hugging Face, we're preparing something big 🤯 ⚔️AI vs. AI ⚔️ A multi-agent challenge where your deep reinforcement learning agents compete against one another 🏆 Matchmaking algorithm to define matches, and leaderboard 👀Visualize your agent competing with our demo 1/2

At Hugging Face, we're preparing something big 🤯 ⚔️AI vs. AI ⚔️ A multi-agent challenge where your deep reinforcement learning agents compete against one another 🏆 Matchmaking algorithm to define matches, and leaderboard 👀Visualize your agent competing with our demo 1/2

Thomas Simonini

146,280 просмотров • 3 лет назад

NVIDIA's Jim Fan has verified from reliable sources that the video by EngineAI is a real robot demo and not CGI. The controller is a neural net trained in the NVIDIA Isaac simulator using reinforcement learning. There’s also another video from a different angle.

NVIDIA's Jim Fan has verified from reliable sources that the video by EngineAI is a real robot demo and not CGI. The controller is a neural net trained in the NVIDIA Isaac simulator using reinforcement learning. There’s also another video from a different angle.

The Humanoid Hub

148,535 просмотров • 1 год назад

How to actually learn something from Social interactions

How to actually learn something from Social interactions

Neo

134,911 просмотров • 1 год назад