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It's possible they're executing many simulations in parallel, and counting that. 16k robot arms executing at 3k FPS each is much more reasonable on a 4090. If you're effectively fuzzing for edge cases, this would have value.


The reason why they are using the FPS (frames-per-second) term in a different way, is that this robotics simulator is primarily going to be used for reinforcement learning, where you run thousands of agents in parallel. In that context, the total "batched" throughput of how many frames you can generate per second is crucial for training your policy network quickly - than the actual latency between frames (which is more important for real-time tasks like gaming)


Yeah it’s gotta be something like that. The whole claim comes across as rather dishonest. If you’re simulating 16,000 arms at 3000 fps each then say that. Thats great. Be clear and concise with your claims.


Agreed.




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