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Found 3 papers, 2 papers with code
ZPY: Open Source Synthetic Data for Computer Vision
Synthetic data presents a unique solution to the huge data requirements of computer vision with deep learning.
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
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.
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real
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.
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