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Vladlen Koltun — The Power of Simulation and Abstraction

Gradient Dissent: Conversations on AI

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How to Simulate a Quadrotor Flying in Crazy Ways

This is the simplest instantiation of this approach. It doesn't actually try to figure out an intermediate true representation of the world. This network is just trained in a supervised fashion by the actions that the teacher produces. We did not simulate aerodynamic effects, which are very hard to simulate. So if a quadrotor goes close to a wall, it then gets aerodynamic push react. And if it gets a bit off track, if it's thrown around, no problem. In the very next moment, it adjusts to the state that it finds itself in.

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