1 code implementation • Github 2021 • Hugo Ponte, Norman Ponte, Sammie Crowder, Kory Stiger, Steven Pecht, Elena Ponte
Synthetic data presents a unique solution to the huge data requirements of computer vision with deep learning.
1 code implementation • 25 Sep 2019 • Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar
ROBEL introduces two robots, each aimed to accelerate reinforcement learning research in different task domains: D'Claw is a three-fingered hand robot that facilitates learning dexterous manipulation tasks, and D'Kitty is a four-legged robot that facilitates learning agile legged locomotion tasks.
no code implementations • 13 Aug 2019 • Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar
Our method hinges on the use of hierarchical sim2real -- a simulated environment is used to learn low-level goal-reaching skills, which are then used as the action space for a high-level RL controller, also trained in simulation.