Reinforcement Learning in Simulink Example - Search Videos

Lecture 16: Reinforcement Learning, Part 1 | Machine Learning for Healthcare | Electrical Engineering and Computer Science | MIT OpenCourseWare

Lecture 16: Reinforcement Learning, Part 1 | Machine Learning for Healthcare | Electrical Engineering and Computer Science | MIT OpenCourseWare

Reinforcement Learning 101

Reinforcement Learning 101

Reinforcement Learning: Practice

Reinforcement Learning: Practice

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control - Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath, 2025

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control - Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath, 2025

4.2K viewsOct 23, 2024

IsaacSim 2021.2.1 RL example

IsaacSim 2021.2.1 RL example

Wow. This is crazy.A developer trained an AI agent in simulation and deployed it onto a real robotic air hockey table using reinforcement learning.This robot can track the puck with millimeter-level accuracy and react in roughly 20 milliseconds, fast enough to challenge even skilled human players.We’re moving from robots that follow programmed rules to machines that learn strategies in simulation and execute them in the physical world.

Wow. This is crazy.A developer trained an AI agent in simulation and deployed it onto a real robotic air hockey table using reinforcement learning.This robot can track the puck with millimeter-level accuracy and react in roughly 20 milliseconds, fast enough to challenge even skilled human players.We’re moving from robots that follow programmed rules to machines that learn strategies in simulation and execute them in the physical world.

1.6M views1 month ago

x.comSciTech Era

The best way to get robust, high-quality robot performance is through reinforcement learning; but RL in either the real world or a traditional simulation has lots of limitations. Instead, @jiazhi_yang2024 in RISE does RL in a compositional world model. Learn more ->

The best way to get robust, high-quality robot performance is through reinforcement learning; but RL in either the real world or a traditional simulation has lots of limitations. Instead, @jiazhi_yang2024 in RISE does RL in a compositional world model. Learn more ->

34K views1 month ago

x.comChris Paxton

A Deep-reinforcement Learning Approach for SDN Routing Optimization | Proceedings of the 4th International Conference on Computer Science and Application Engineering

The bottleneck to on-robot reinforcement learning is good, scalable reward prediction. Robometer is a massive step in that direction, and the authors have been wonderfully open as well, releasing a large dataset and continuing to improve their model post release.Thanks to @aliangdw @yigitkkorkmaz and @Jesse_Y_Zhang for joining me and @DJiafei!

15.8K views1 month ago

x.comChris Paxton

Teaching an AI to navigate a computer requires training it to hallucinate the entire operating system before it takes a single action."General agent capability requires robust internal simulation, making the prediction of state transitions foundational for effective action."Instead of waiting for real software to respond to an input, a software agent can be trained to predict the response itself. When asked to execute a command, the AI internally generates the expected terminal output, including

121 views3 weeks ago

x.comEmergent Mind

What is reinforcement learning? An AI researcher explains a key method of teaching machines – and how it relates to training your dog

theconversation.com

Richard Sutton just won the Turing Award for inventing reinforcement learning -- the training method that sits inside every system that learns by doing.So when he says today's large language models are a dead end, it is worth hearing exactly why:"I consider reinforcement learning to be basic AI. What is intelligence? The problem is to understand your world. Reinforcement learning is about understanding your world, whereas large language models are about mimicking people, doing what people say yo

6.2K views2 weeks ago

x.comKarl Mehta

Physics-based simulations for reinforcement learning are kind of mind-blowing.I was thinking about it today.It's like being Neo in The Matrix learning martial arts, but it's not sci-fi.Our AI is already experiencing it and it is strange to think that THIS could be its own physics-based simulation because we're not raised to think that way, yet at the same time, it feels so natural as a hypothesis for this world. The discomfort is in asking oneself questions that one can't answer.There's a Korean

474 views1 week ago

Andrej Karpathy, OpenAI founding member, explains why the technique training every frontier model is "terrible" -- and the one thing all of them are still missing."Reinforcement learning is a lot worse than I think the average person thinks. Reinforcement learning is terrible. It just so happens that everything that we had before it is much worse.""You're given a problem, you try hundreds of different attempts. And then you check the back of the book, and you see this one and that one got the co

18.2K views2 weeks ago

x.comKarl Mehta

Tomorrow I’ll be presenting this project at Stanford’s Deep Reinforcement Learning course, CS224R.We modified a diffusion policy so the robot can be prompted with a bounding box: “pick this object,” even in a cluttered scene with multiple LEGO blocks.The data was collected using a UMI handheld device, and the bounding-box conditioning enables a simple “point-and-click” interface for specifying the target object.The interesting part is that the instruction is spatial and visual, not just text. Th

6K views1 month ago

x.comRaúl Garreta

Awesome Robotics! 💾Building your own robot just got a lot easier.MathWorks have released an open-source GitHub repository packed with robotics resources for anyone interested in getting hands-on.The repo includes examples for robot arms, ground vehicles, and drones, with projects that show how to connect with ROS and ROS2 or even deploy Simulink models directly as ROS nodes. There are also more advanced demos, like modeling off-road environments and testing navigation algorithms in photorealist

58.5K views2 months ago

x.comLukas Ziegler

A Switzerland-based startup Flexion has created a robotic brain that helps the Unitree G1 move smoothly and work on its own.It uses reinforcement learning, where the robot trains in simulations to learn walking, balancing, and picking objects.In tests, it cleaned a space by finding and placing items in a basket without human help.

17.6K views3 months ago

x.comSpace and Technology

Last semester, I taught Reinforcement Learning class again at UCLA. Together with my amazing TAs Matthew and Caiyuan, we built a mini-project: MetaDrive Arena 🚗🤖Students applied what they learned in class, trained RL agents, and competed on a live leaderboard. The results were incredible, with 94 agents, 2K submissions, and 130K matches. We saw tons of creativity, clever ideas, and real progress in learning.We’re now releasing it publicly to support RL education and experimentation. Try it out

25.2K views3 months ago

x.comBolei Zhou

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