RL agent learning to land a Falcon 9 on a droneship (fully simulated, 67 randomized parameters)
An RL agent learning to land a Falcon 9 on a droneship. Everything is simulated: rocket physics, waves, wind, fuel slosh, sensor noise. No real flight data, just trial and error. It’s a hoverslam, so the booster can’t hover and has to hit zero speed right at the deck. PPO, ~80k parameter policy, 10…
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- 2026-10-20 10:09 · r/reinforcementlearning
RL agent learning to land a Falcon 9 on a droneship (fully simulated, 67 randomized parameters)