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Video 🎥 🦷 Deep Margin Elevation made predictable Learn how to manage deep proximal margins with a step-by-step DME technique using everX Flow. Elevating subgingival margins to a more accessible level improves isolation, adhesion, and overall restorative outcomes. By using fibre-reinforced composite as a dentine replacement, you can enhance...

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Our Igloo Technique ❄️ results and the video has been published by BJU International inspired by Richard Gaston's technique This innovative approach is detailed in our paper, aiming to enhance functional outcomes by preserving periprostatic structures. Key findings -median urine loss of 4g within the first 24 hours post-catheter removal -10d postOP only 3 with 10 g/24 h and 10 with 0g/24h For a step-by-step guide and more insights, check out the full video at the end of the article on BJUI's website
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Our Igloo Technique ❄️ results and the video has been published by BJU International inspired by Richard Gaston's technique This innovative approach is detailed in our paper, aiming to enhance functional outcomes by preserving periprostatic structures. Key findings -median urine loss of 4g within the first 24 hours post-catheter removal -10d postOP only 3 with 10 g/24 h and 10 with 0g/24h For a step-by-step guide and more insights, check out the full video at the end of the article on BJUI's website

Christian D. Fankhauser

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Houston Rockets, Steven Adams, shares a terrific journaling technique he uses to develop mental strength and emotional agility. Step 1: Write down your raw emotion Step 2: Read it back Step 3: Respond in a different color Step 4: Treat your raw and emotional voice like a younger version of yourself Step 5: Answer with the wisdom of your adult self A lot of mental strength comes down to this: Can you create space between what you feel and how you respond? Most people are kinder, wiser, and more patient with others than they are with themselves. His technique creates just enough separation and distance to access that same compassion internally. 🎥 : Between Two Beers Podcast
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Houston Rockets, Steven Adams, shares a terrific journaling technique he uses to develop mental strength and emotional agility. Step 1: Write down your raw emotion Step 2: Read it back Step 3: Respond in a different color Step 4: Treat your raw and emotional voice like a younger version of yourself Step 5: Answer with the wisdom of your adult self A lot of mental strength comes down to this: Can you create space between what you feel and how you respond? Most people are kinder, wiser, and more patient with others than they are with themselves. His technique creates just enough separation and distance to access that same compassion internally. 🎥 : Between Two Beers Podcast

Zach Brandon

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Say goodbye to the hassle of traditional car washing methods! In this video, we'll show you how to use Rubbit Rinseless Wash on your Tesla to achieve a spotless and shiny car without the need for water or a hose. Discover the benefits of this eco-friendly and efficient car cleaning solution, and learn how to use it correctly for the best results. Purchase here & use TOSV for a discount: Key Points: Introduction to Rubbit Rinseless Wash The benefits of using Rubbit (waterless, eco-friendly, easy to use) How to prepare your car for the wash (remove debris, inspect for dirt) Step-by-step guide to using Rubbit (mixing, application, wiping) Tips for achieving the best results (using the right cloth, cleaning in sections, drying)
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Say goodbye to the hassle of traditional car washing methods! In this video, we'll show you how to use Rubbit Rinseless Wash on your Tesla to achieve a spotless and shiny car without the need for water or a hose. Discover the benefits of this eco-friendly and efficient car cleaning solution, and learn how to use it correctly for the best results. Purchase here & use TOSV for a discount: Key Points: Introduction to Rubbit Rinseless Wash The benefits of using Rubbit (waterless, eco-friendly, easy to use) How to prepare your car for the wash (remove debris, inspect for dirt) Step-by-step guide to using Rubbit (mixing, application, wiping) Tips for achieving the best results (using the right cloth, cleaning in sections, drying)

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🌉 Watch the step-by-step video guide on how to bridge $OM tokens from the Ethereum network to Base in a few easy steps! ✅ We launched the first LP for $OM on Base earlier in June. Our video guide explains in detail how you can safely and seamlessly bridge your $OM tokens from ERC20 to Base Chain using Read Guide: #MANTRA #RWAs
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🌉 Watch the step-by-step video guide on how to bridge $OM tokens from the Ethereum network to Base in a few easy steps! ✅ We launched the first LP for $OM on Base earlier in June. Our video guide explains in detail how you can safely and seamlessly bridge your $OM tokens from ERC20 to Base Chain using Read Guide: #MANTRA #RWAs

MANTRA | The EVM L1 for RWAs

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Take your privacy to the next level! 🚀🛡️ Check out our step-by-step tutorial on how to buy .Nym VPN with Zcash 🛡️. Unlike other centralized VPNs, which route all traffic through servers controlled by a single company, Nym leverages mixnet routing and noise generation across independent nodes distributed around the world. By using Shielded Zcash as a means of payment, your information remains fully protected, providing you with enhanced privacy, greater freedom, and a more secure browsing experience through.
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Take your privacy to the next level! 🚀🛡️ Check out our step-by-step tutorial on how to buy .Nym VPN with Zcash 🛡️. Unlike other centralized VPNs, which route all traffic through servers controlled by a single company, Nym leverages mixnet routing and noise generation across independent nodes distributed around the world. By using Shielded Zcash as a means of payment, your information remains fully protected, providing you with enhanced privacy, greater freedom, and a more secure browsing experience through.

ZecHub

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The holy grail of robotics is to be able to perform previously-unseen, out-of-distribution manipulation tasks “zero shot” in a new environment. NovaFlow proposes an approach which (1) generates a video, (2) computes predicted flow — how points move through the scene — and (3) uses this flow as an objective to generate a motion. Using this procedure, NovaFlow generates motions in unseen scenes, for unseen tasks, and can transfer across embodiments. To learn more, we are joined by Hongyu Li and Jiahui Fu from RAI. Watch Episode #63 of RoboPapers with Chris Paxton and Michael Cho - Rbt/Acc now to learn more!
1:08:49

The holy grail of robotics is to be able to perform previously-unseen, out-of-distribution manipulation tasks “zero shot” in a new environment. NovaFlow proposes an approach which (1) generates a video, (2) computes predicted flow — how points move through the scene — and (3) uses this flow as an objective to generate a motion. Using this procedure, NovaFlow generates motions in unseen scenes, for unseen tasks, and can transfer across embodiments. To learn more, we are joined by Hongyu Li and Jiahui Fu from RAI. Watch Episode #63 of RoboPapers with Chris Paxton and Michael Cho - Rbt/Acc now to learn more!

RoboPapers

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NEW VIDEO: This one may blow your mind and introduce a new way to cook mushrooms: 🍄 Most people cook mushrooms WRONG. 🔥 Stop burning the outside while the inside stays raw. Yes, you can rinse them. ✔️ Steam to release their natural liquor ✔️ Reduce it & brown for deep flavor ✔️ Finish with a silky cream reduction Full technique in the video 🎥👇
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NEW VIDEO: This one may blow your mind and introduce a new way to cook mushrooms: 🍄 Most people cook mushrooms WRONG. 🔥 Stop burning the outside while the inside stays raw. Yes, you can rinse them. ✔️ Steam to release their natural liquor ✔️ Reduce it & brown for deep flavor ✔️ Finish with a silky cream reduction Full technique in the video 🎥👇

Chef Andrew Gruel

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RunwayML is not limited to 4sec! Here's how you can bypass the limitations 👇 Step 1: Generate your video with Runway Step 2: Get ffmpeg Step 3: Grab the last frame of your video using this command ffmpeg -sseof -3 -i [input_file_name.mp4] -update 1 -q:v 1 [output_file_name.jpg] Step 4 : Use the image output as the input for your next RunwayML generation Step 5: Stich them together in your favorite editing software Step 6: This is the most important step! Like, RT and follow for more good stuff, thanks! ♥️🤗 It's not perfect, but it's a start, I added 5 clips in total in the video below, just so you can see how it evolves over time. With a lot of generations eventually it can look decent for 2-3 clips. Voice by Music and SFX by Epidemic Sound Sound mixing with Ableton
0:20

RunwayML is not limited to 4sec! Here's how you can bypass the limitations 👇 Step 1: Generate your video with Runway Step 2: Get ffmpeg Step 3: Grab the last frame of your video using this command ffmpeg -sseof -3 -i [input_file_name.mp4] -update 1 -q:v 1 [output_file_name.jpg] Step 4 : Use the image output as the input for your next RunwayML generation Step 5: Stich them together in your favorite editing software Step 6: This is the most important step! Like, RT and follow for more good stuff, thanks! ♥️🤗 It's not perfect, but it's a start, I added 5 clips in total in the video below, just so you can see how it evolves over time. With a lot of generations eventually it can look decent for 2-3 clips. Voice by Music and SFX by Epidemic Sound Sound mixing with Ableton

Alex Patrascu

535,793 görüntüleme • 3 yıl önce

David Lean explains how one can learn Filmmaking by watching movies and what constitutes a good movie: "Interviewer: Do you believe that the same principles are involved in making a good amateur film as a good professional film? David Lean: Absolutely the same. The only difference lies in the ambitiousness of the production, but a good film is good on any level, amateur or professional. Interviewer: Then you believe that the amateur can learn something about film technique from watching good professional movies? David Lean: Certainly, if he watches them in the proper way. Interviewer: How would you advice an amateur to watch a film in order to learn from it? For example, how would you advise the amateur to watch 'Bridge on the River Kwai' (1957)? David Lean: I would hope that he would be quite incapable of appreciating the technique of the film. I think that really good filmmaking conceals technique. If a film is really successful, the audience should be so caught up in it that they do not notice how it was made. Interviewer: Do you think then that to really study a movie you should see it more than once, the first time for impact and to enjoy it, and the second time to learn from it? David Lean: This sounds like a plug, but I think so. To really study a film you should have reached the point where you are no longer involved in the dramatic action. In a sense you must become bored with the story before you can study the technique. Of course as you become more and more accustomed to watching films in this manner you will automatically become more sensitive to technique on the first viewing. Interviewer: Did you use this technique in learning? David Lean: In my younger days, I used to spend hours in movie houses to watch the cutting. Interviewer: From a Technical stand point what do you think is the mark of a good film? David Lean: It tells its story in pictures. This is always the problem of good filmmaking. This is one of the biggest things that can be learned from any good movie. The amateur who wants to learn from viewing the films should try to constantly notice how the director is telling his story in terms of visuals. 'How can I show it?' is the questing the director must constantly ask himself. Of course, it is faster in shooting and much easier to tell a story in dialogue, but it is not as effective. Dialogue compared to visuals is a bore; you are using a moving picture camera." (David Lean's interview with Charles Reynolds, 1958)
1:25

David Lean explains how one can learn Filmmaking by watching movies and what constitutes a good movie: "Interviewer: Do you believe that the same principles are involved in making a good amateur film as a good professional film? David Lean: Absolutely the same. The only difference lies in the ambitiousness of the production, but a good film is good on any level, amateur or professional. Interviewer: Then you believe that the amateur can learn something about film technique from watching good professional movies? David Lean: Certainly, if he watches them in the proper way. Interviewer: How would you advice an amateur to watch a film in order to learn from it? For example, how would you advise the amateur to watch 'Bridge on the River Kwai' (1957)? David Lean: I would hope that he would be quite incapable of appreciating the technique of the film. I think that really good filmmaking conceals technique. If a film is really successful, the audience should be so caught up in it that they do not notice how it was made. Interviewer: Do you think then that to really study a movie you should see it more than once, the first time for impact and to enjoy it, and the second time to learn from it? David Lean: This sounds like a plug, but I think so. To really study a film you should have reached the point where you are no longer involved in the dramatic action. In a sense you must become bored with the story before you can study the technique. Of course as you become more and more accustomed to watching films in this manner you will automatically become more sensitive to technique on the first viewing. Interviewer: Did you use this technique in learning? David Lean: In my younger days, I used to spend hours in movie houses to watch the cutting. Interviewer: From a Technical stand point what do you think is the mark of a good film? David Lean: It tells its story in pictures. This is always the problem of good filmmaking. This is one of the biggest things that can be learned from any good movie. The amateur who wants to learn from viewing the films should try to constantly notice how the director is telling his story in terms of visuals. 'How can I show it?' is the questing the director must constantly ask himself. Of course, it is faster in shooting and much easier to tell a story in dialogue, but it is not as effective. Dialogue compared to visuals is a bore; you are using a moving picture camera." (David Lean's interview with Charles Reynolds, 1958)

DepressedBergman

91,395 görüntüleme • 9 ay önce

AI ads have reached a point where it outperforms traditional UGC on both cost AND quality you can create everything and anything with it and the only thing stopping you is your creativity realistic UGC videos, ai animations or mix of both together (this one performed suprisingly well for us last month) for over a year now we've been using it across all my and our clients' offers, 100% legal, without deepfaking anyone or risk of being sued i cracked the code to create videos that look real, stop the scroll, convert like crazy, and are easy to automate i'm finally sharing my FULL system with you, here's what you're getting: - all the prompts im using - full step by step playbook from zero to edited ad - how i create them in less than 15mins and $2 - how to automate full pipeline and scale even more RT + reply 'ADS' and i'll send you the step-by-step system (must follow so i can dm)
1:21

AI ads have reached a point where it outperforms traditional UGC on both cost AND quality you can create everything and anything with it and the only thing stopping you is your creativity realistic UGC videos, ai animations or mix of both together (this one performed suprisingly well for us last month) for over a year now we've been using it across all my and our clients' offers, 100% legal, without deepfaking anyone or risk of being sued i cracked the code to create videos that look real, stop the scroll, convert like crazy, and are easy to automate i'm finally sharing my FULL system with you, here's what you're getting: - all the prompts im using - full step by step playbook from zero to edited ad - how i create them in less than 15mins and $2 - how to automate full pipeline and scale even more RT + reply 'ADS' and i'll send you the step-by-step system (must follow so i can dm)

MAX

22,418 görüntüleme • 1 ay önce

"I've spent $30K on a launch video, now you can make one with code." Here's my new episode with Bin Liu and Jake Moran, where they shared their 5-step playbook for using HyperFrames to make professional launch videos in Codex and Claude Code: 1. Gather video assets and create a frame.md 2. Create a storyboard.md with the scenes 3. Pull animations from the HyperFrames repo 4. Generate and review static frames 5. Build the video with HyperFrames Studio You can also start simple by using the built-in /website-to-video skill to one shot a launch video from any URL. HyperFrames is 100% free and I love how it democratizes video creation for everyone. 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video
0:43

"I've spent $30K on a launch video, now you can make one with code." Here's my new episode with Bin Liu and Jake Moran, where they shared their 5-step playbook for using HyperFrames to make professional launch videos in Codex and Claude Code: 1. Gather video assets and create a frame.md 2. Create a storyboard.md with the scenes 3. Pull animations from the HyperFrames repo 4. Generate and review static frames 5. Build the video with HyperFrames Studio You can also start simple by using the built-in /website-to-video skill to one shot a launch video from any URL. HyperFrames is 100% free and I love how it democratizes video creation for everyone. 📌 Watch now: Thanks to our sponsors: Wispr Flow: 4x faster than typing with your voice Riverside: All-in-one AI studio for podcasts and video

Peter Yang

68,646 görüntüleme • 2 ay önce

New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase by Rubrik, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving math problems and debugging code - without needing pre-existing training examples like in traditional supervised fine-tuning. Group Relative Policy Optimization (GRPO) is a reinforcement fine-tuning algorithm gaining rapid adoption. Developed by the DeepSeek team and used to train the R1 reasoning model, GRPO uses reward functions that you can write in Python to assign rewards to model responses. It’s beneficial for tasks with verifiable outcomes and can work well even with fewer than 100 training examples. It can also significantly improve the reasoning ability of smaller LLMs, making applications faster and more cost effective. In this course, you’ll take a technical deep dive into RFT with GRPO. You’ll learn to build reward functions that you can use in the GRPO training process to guide an LLM toward better performance on multi-step reasoning tasks. In detail, you’ll: - Learn when reinforcement fine-tuning is a better fit than supervised fine-tuning, especially for tasks involving multi-step reasoning or limited labeled data. - Understand how GRPO uses programmable reward functions as a more scalable alternative to the human feedback required for other reinforcement learning algorithms, such as RLHF and DPO. - Frame the Wordle game as a reinforcement fine-tuning problem and see how an LLM can learn to plan, analyze feedback, and improve its strategy over time. - Design reward functions that power the reinforcement fine-tuning process. - Learn techniques for evaluating more subjective tasks, such as rating the quality of a text summary, using an LLM as a judge. - Understand why reward hacking happens and how to avoid it by adding penalty functions to discourage undesirable behaviors. - Learn the four key components of the loss calculation in the GRPO algorithm: token probability distribution ratios, advantages, clipping, and KL-divergence. - Launch reinforcement fine-tuning jobs using Predibase’s hosted training services. By the end of this course, you’ll be able to build and fine-tune LLMs using reinforcement learning to improve reasoning without relying on large labeled datasets or subjective human feedback. Please sign up here:
2:41

New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase by Rubrik, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving math problems and debugging code - without needing pre-existing training examples like in traditional supervised fine-tuning. Group Relative Policy Optimization (GRPO) is a reinforcement fine-tuning algorithm gaining rapid adoption. Developed by the DeepSeek team and used to train the R1 reasoning model, GRPO uses reward functions that you can write in Python to assign rewards to model responses. It’s beneficial for tasks with verifiable outcomes and can work well even with fewer than 100 training examples. It can also significantly improve the reasoning ability of smaller LLMs, making applications faster and more cost effective. In this course, you’ll take a technical deep dive into RFT with GRPO. You’ll learn to build reward functions that you can use in the GRPO training process to guide an LLM toward better performance on multi-step reasoning tasks. In detail, you’ll: - Learn when reinforcement fine-tuning is a better fit than supervised fine-tuning, especially for tasks involving multi-step reasoning or limited labeled data. - Understand how GRPO uses programmable reward functions as a more scalable alternative to the human feedback required for other reinforcement learning algorithms, such as RLHF and DPO. - Frame the Wordle game as a reinforcement fine-tuning problem and see how an LLM can learn to plan, analyze feedback, and improve its strategy over time. - Design reward functions that power the reinforcement fine-tuning process. - Learn techniques for evaluating more subjective tasks, such as rating the quality of a text summary, using an LLM as a judge. - Understand why reward hacking happens and how to avoid it by adding penalty functions to discourage undesirable behaviors. - Learn the four key components of the loss calculation in the GRPO algorithm: token probability distribution ratios, advantages, clipping, and KL-divergence. - Launch reinforcement fine-tuning jobs using Predibase’s hosted training services. By the end of this course, you’ll be able to build and fine-tune LLMs using reinforcement learning to improve reasoning without relying on large labeled datasets or subjective human feedback. Please sign up here:

Andrew Ng

86,457 görüntüleme • 1 yıl önce

Build and customize complex AI applications with a flexible framework in this new short course, Building AI Applications with Haystack. Created in collaboration with deepset, makers of Haystack, and taught by Tuana, who is the developer relations lead for Haystack at deepset. Generative AI technology is changing rapidly and it can be challenging to integrate APIs from different LLMs, vector databases, and various tools such as web search. In this course, you will learn how to use the Haystack framework to make your development process more modular, allowing you to manage complexity and focus more on building your application. In detail, you’ll: - Build a RAG pipeline using Haystack’s main building blocks – components, pipelines, and document stores. - Create custom components in your pipeline by building a Hacker News summarizer that extends your app’s ability to access APIs. - Use conditional routing to create a branching pipeline with a fallback to web search mechanism when the LLM does not have the necessary context to respond to the user's query. - Build a self-reflecting agent for named entity recognition that loops using an output validator custom component. - Create a chat agent using OpenAI's function-calling capabilities which allow you to provide Haystack pipelines as tools to the LLM, enhancing that agent's capabilities. By the end of this course, you will learn a high-level orchestration framework that can help make your applications flexible, extendible, and maintainable, even as the technology stack changes, new user needs arise, and you add new features to your application. Please sign up here:
3:31

Build and customize complex AI applications with a flexible framework in this new short course, Building AI Applications with Haystack. Created in collaboration with deepset, makers of Haystack, and taught by Tuana, who is the developer relations lead for Haystack at deepset. Generative AI technology is changing rapidly and it can be challenging to integrate APIs from different LLMs, vector databases, and various tools such as web search. In this course, you will learn how to use the Haystack framework to make your development process more modular, allowing you to manage complexity and focus more on building your application. In detail, you’ll: - Build a RAG pipeline using Haystack’s main building blocks – components, pipelines, and document stores. - Create custom components in your pipeline by building a Hacker News summarizer that extends your app’s ability to access APIs. - Use conditional routing to create a branching pipeline with a fallback to web search mechanism when the LLM does not have the necessary context to respond to the user's query. - Build a self-reflecting agent for named entity recognition that loops using an output validator custom component. - Create a chat agent using OpenAI's function-calling capabilities which allow you to provide Haystack pipelines as tools to the LLM, enhancing that agent's capabilities. By the end of this course, you will learn a high-level orchestration framework that can help make your applications flexible, extendible, and maintainable, even as the technology stack changes, new user needs arise, and you add new features to your application. Please sign up here:

Andrew Ng

53,788 görüntüleme • 2 yıl önce

The Asian Squat Test Step 1 - Drop down into a full squat with heels on ground Step 2 - Hold for 60-120 seconds Step 3 - Monitor foot angle & how the body feels This is a signal of ankle, knee, and hip mobility and leg strength, strongly correlated with independence, fall risk, and longevity as you get older. If you can hold this squat for a minute or more, you've got healthy hips and ankles. If you can't, start by holding onto a pillar and gently lower yourself into a squat position. Aim for 3–5 minutes total per day in short holds (30–60 seconds), and build up gradually.
0:57

The Asian Squat Test Step 1 - Drop down into a full squat with heels on ground Step 2 - Hold for 60-120 seconds Step 3 - Monitor foot angle & how the body feels This is a signal of ankle, knee, and hip mobility and leg strength, strongly correlated with independence, fall risk, and longevity as you get older. If you can hold this squat for a minute or more, you've got healthy hips and ankles. If you can't, start by holding onto a pillar and gently lower yourself into a squat position. Aim for 3–5 minutes total per day in short holds (30–60 seconds), and build up gradually.

Dan Go

270,478 görüntüleme • 1 ay önce

Everything I do as First Minister is driven by a deep commitment to our young people, to create a future where they can thrive and achieve their dreams. It was a real joy to visit the amazing pupils and staff at St. Mary’s Dunnamore, and to spend time with the brilliant P7s as they get ready to take their next big step to secondary school. To every young person going into secondary school, always believe in yourself. There’s nothing you can’t achieve. Dream big. The future is yours. 👏🏻
0:52

Everything I do as First Minister is driven by a deep commitment to our young people, to create a future where they can thrive and achieve their dreams. It was a real joy to visit the amazing pupils and staff at St. Mary’s Dunnamore, and to spend time with the brilliant P7s as they get ready to take their next big step to secondary school. To every young person going into secondary school, always believe in yourself. There’s nothing you can’t achieve. Dream big. The future is yours. 👏🏻

Michelle O’Neill

16,550 görüntüleme • 1 yıl önce

Diffusion has shown great promise for generating robot **actions**, can it act as a **world model** to generate the future conditioned on actions? In our work led by han qi Haocheng Yin and in collaboration with Yilun Du, we show a **controllable** action-conditioned video diffusion model can produce photorealistic and (near) physics-accurate future predictions. This ability strengthens the policy via: - ranking different action proposals and selecting the best, or - **visual** trajectory optimization by optimizing the action proposals using gradient ascent. Learn more about Generative Predictive Control (GPC) at:
1:37

Diffusion has shown great promise for generating robot **actions**, can it act as a **world model** to generate the future conditioned on actions? In our work led by han qi Haocheng Yin and in collaboration with Yilun Du, we show a **controllable** action-conditioned video diffusion model can produce photorealistic and (near) physics-accurate future predictions. This ability strengthens the policy via: - ranking different action proposals and selecting the best, or - **visual** trajectory optimization by optimizing the action proposals using gradient ascent. Learn more about Generative Predictive Control (GPC) at:

Heng Yang

38,434 görüntüleme • 1 yıl önce