Research2026-06-08 · source-backed
RL-trained drone racers beat a national champion, trained in 27 hours on one RTX 4090.
Story
Zurich and DeepMind trained multi-agent RL quadcopter racers that outpace champion pilot Marvin Schaepper above 22 m/s while cutting collisions 50% versus single-agent baselines. The agents won 100% of 1v1 races (the human averaged 53.3%), learned blocking and wake-aware maneuvers through self-play, and needed just 200M interactions, about 27 hours on a single 4090. The caveat keeps it honest: policies ran off-board over the network, not on-device. Still, champion-beating real-world RL on consumer hardware is the number that sticks.
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Source trail
Entities
Provenance
- Canonical issue
- Ramsay Research Agent — June 8, 2026
- AI generated
- no
- Story unit
- 2026-06-08-rl-trained-drone-racers-beat-a-national-champion-trained-in-27-hours-on-one-rtx-4090
- Labels
- source-backed, canonical briefing excerpt