DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training

Aleksei Petrenko, Arthur Allshire, Gavriel State +2

In this work, we propose algorithms and methods that enable learning dexterous object manipulation using simulated one- or two-armed robots equipped with multi-fingered hand end-ef…