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[P] Landing a rocket – my first Unity ML Agents project.

Video – https://youtu.be/ynMYVdb7mO8

It was always my little dream to do exactly this project. I know people have done it before, but being a beginner in both Unity and Reinforcement Learning I thought I share the results of my little dream 😛

The agent taught itself how to land, no human taught it or shown how to do it. Trained for 500k steps (ca. 1h), could have ended sooner – image

Maximum reward/score is 20, its almost impossible to reach. It would mean 0 landing speed + 0 horizontal offset from the target. Needless to say, humans have no chance to land like that 😛

Reward function – click me

Will retrain with different parameters. Right now batch_size: 10 and buffer_size: 100, rest default.

Todo:

– Add fuel consumption

– Lessen the thrust of sideways engines

– Simulate something more similar to a SpaceX landing, where a rocket falls for a period of time before landing

– Add human controlled rocket for competitive play

– Host the game on the web

– ???

ps. Elon Musk, hire me! 😀

submitted by /u/Roboserg
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.