AMPC Baseline
Cross-source consensus on AMPC Baseline from 1 sources and 5 claims.
1 sources · 5 claims
Preparation
Comparisons
Highlighted claims
- The final agent's average speed was about 3.33 times the AMPC average speed. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- The final Infoprop Dyna racing policy substantially outperformed the AMPC baseline. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- The real-world dataset was initialized with trajectories collected by manually driving the robot using AMPC and a joystick interface. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- The learned racing agent stayed closer to the track centerline and completed more than three times as many laps as the AMPC agent. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
- The controlled slipping strategy differed from the AMPC strategy of using gyroscopic effects to reorient the robot. — Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot