Distributed Training Pipeline
Cross-source consensus on Distributed Training Pipeline from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Preparation
Highlighted claims
- The learned dynamics model generated large-scale parallel synthetic rollouts for policy optimization. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- Training used a distributed real-world pipeline involving the robot, a local workstation, an HPC cluster, and a JAX/BRAX implementation. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- High-performance computing made training times comparable to real-world data-collection times. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- The distributed architecture was central because computation could keep pace with data collection and deployment. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot