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This is a cool idea. It seems like currently only the major players have troves of real data to feed their ML algorithms. Google has clocked how many real hours
by adfhghg123345 7y ago
This is a cool idea. It seems like currently only the major players have troves of real data to feed their ML algorithms. Google has clocked how many real hours of driving for their cars? But if an upstart wants to bring a better driving AI/algorithm to the market they won't be able to because they don't have a Google-scale fleet with unlimited cash to burn on driving hours. In those cases simulation becomes a really good substitute. Driving is one example but I can imagine other cases where simulating the real word as data for an ML model is just as good as clocking the real world hours.
- DavidWilkinson 7y agoThis is a great example. Relatedly Josh Tobin and team (OpenAI) have done some awesome recent work on how domain randomization can be applied to simulated worlds to improve the generalizability of algorithms as well: https://arxiv.org/abs/1710.06425 https://arxiv.org/abs/1710.06425