Tag: Domain Randomization

AI Machine Learning & Data Science Popular Research

Pieter Abbeel Team Proposes Task-Agnostic RL Method to Auto-Tune Simulations to the Real World

A research team from UC Berkeley and Carnegie Mellon University proposes a task-agnostic reinforcement learning method that reduces the task-specific engineering required for domain randomization of both visual and dynamics parameters.