Nvidia Research announces Eureka, an AI agent powered by GPT-4 that autonomously writes reward algorithms to teach robots to perform complex skills like a human
Sharon Goldman / VentureBeat :
VentureBeat Sharon Goldman
Related Coverage
- Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning NVIDIA
- Introducing Habitat 3.0: The Next Milestone on the Path to Socially Intelligent Robots Meta
- Eureka: Human-Level Reward Design via Coding Large Language Models Eureka
- Nvidia Eureka shows AI trains robots better than humans can The Decoder
- Embodied AI spins a pen and helps clean the living room in new research TechCrunch
- Eureka: Nvidia's AI breakthrough using GPT-4 to train robots ReadWrite
- Watch what happens when AI teaches a robot ‘hand’ to twirl a pen Popular Science
- Nvidia develops AI system for programming robots SiliconANGLE
- NVIDIA Develops Eureka AI Agent Capable of Teaching Robots Complex Skills TechEBlog
- NVIDIA's latest AI model helps robots perform pen spinning tricks as well as humans Engadget
- This is the next holy grail of AI: when LLM can teach robots how to perform tasks. While it is still in early stage, the time scale for AI with the help of LLM can be shortened greatly. … Hung (Leo) Chan, Ph.D
- Great work Anima Anandkumar and team. The disruptive changes this will bring to flexible manufacturing are going to be super huge. Anoop M.
- This is a continuation of the real value of Generative AI: aligning language with actions and processes. … Hyoun Park
- New development per minute now. When the hits drop faster than I can post, the singularity is indeed nigh? … Benjamin Scheuer
- That's right! Designing the right reward function is the most critical part of training the agent in Reinforcement Learning! … Surya Prabha Vadlamani
- I'm seriously loving this! It's like a perfect match with my biggest passion and what I've been diving into with my research - Reinforcement Learning. … Iman Zadeh
- NEW: NVIDIA Research announced today that it has developed a new AI agent, called Eureka, that is powered by OpenAI's GPT-4 and can autonomously teach robots complex skills. … Sharon Goldman
Discussion
-
@drjimfan
@drjimfan
on x
Can GPT-4 teach a robot hand to do pen spinning tricks better than you do? I'm excited to announce Eureka, an open-ended agent that designs reward functions for robot dexterity at super-human level. It's like Voyager in the space of a physics simulator API! Eureka bridges the... …
-
@arankomatsuzaki
Aran Komatsuzaki
on x
Eureka: Human-Level Reward Design via Coding Large Language Models Demonstrates for the first time a simulated 5-finger shadow hand capable of performing pen spinning tricks at human speed proj: https://eureka-research.github.io/ repo: https://github.com/... abs: https://arxiv.or…
-
@drjimfan
@drjimfan
on x
Eureka achieves human-level reward design by evolving reward functions in-context. There are 3 key components: 1. Simulator environment code as context jumpstarts the initial “seed” reward function. 2. Massively parallel RL on GPUs enables rapid evaluation of lots of reward... [v…
-
@scobleizer
Robert Scoble
on x
My high school friend constantly did this with his pen. If your robot can do this it can pretty much do anything with your hands. My friend tried to teach me to do it. I never was able to.
-
@chris_j_paxton
Chris Paxton
on x
This is a bit buried but I think it's the most interesting bit here. Using reward reflection, they're taking *some* of the prompt engineering out of works like ProgPrompt, Code-as-policies: robotics papers which generated code to solve specific problems Really cool work!
-
@jasonma2020
Jason Ma
on x
Super excited to share Eureka, our “spin” on how to use LLMs to teach low-level dexterity skills! Eureka is an open-ended reward design agent that can write and evolve superhuman reward functions for a large suite of robots and tasks, including challenging pen spinning tricks!
-
@nvidiaaidev
@nvidiaaidev
on x
🎉Just released: Eureka!, a new AI agent that uses LLMs to automatically generate algorithms to train robots to accomplish complex tasks. 👀 The #NVIDIAResearch paper includes the AI algorithms and how to experiment with Eureka using NVIDIA Isaac Gym. 👇 https://blogs.nvidia.com/...…
-
@benbajarin
Ben Bajarin
on x
The training of robots begins.
-
@drjimfan
@drjimfan
on x
Finally, Eureka relies on reward reflection, which is an automated textual summary of the RL training. This enables Eureka to perform targeted reward mutation, thanks to GPT-4's remarkable ability for in-context code fixing. Here we provide an illustrative example of the various.…
-
@guanzhi_wang
Guanzhi Wang
on x
Excited to share Eureka, an open-ended agent capable of writing reward functions for robots at super-human level. Great work led by @JasonMa2020!
-
r/singularity
r
on reddit
Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning