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We invite researchers to perform a more qualitative measure of Brax’s physics fidelity by training their own policies in the Brax Training Colab. The learned tr
by mmmBacon 5y ago
We invite researchers to perform a more qualitative measure of Brax’s physics fidelity by training their own policies in the Brax Training Colab. The learned trajectories are recognizably similar to those seen in OpenAI Gym.
Why would the comparison be qualitative? We have known equations of motion. Seems like it would be more productive to produce a quantitative metric where we compare the output to the theoretical solution predicted by the equations of motion.
2nd question: if we have equations of motion, why is this needed or better than a monte-Carlo solution to those equations of motion?
- eutectic 5y agoYou have to integrate which means discretizing time. And you have to deal with collision and solve constraints. There are no exact solutions in physics simulation.
- mmmBacon 5y agoA computer simulation by definition is not exact because it is discretized. However it is still possible to solve mathematical formulae and use them to validate the AI based solution. This is done every day in the physical infrastructure you use and works extremely well. The planes you fly in to the submarine cables Internet traffic is carried on are all modeled numerically. They aren’t modeled using AI ( at least not yet).