Simulation to reality is a huge bottleneck in a lot of reinforcement learning work. Reality is just super messy and complicated.
Tesla has an alternative. If you can get your devices widespread and can be recording observations and actions, you can collect huge datasets in the real world.
The first embodied, vaguely general, multi-task, useful and economical robots might just really open up the virtuous cycle of experience, learning, feedback and improvement. If I had to guess where it would come from right now, I'd pick Amazon warehouses.
Tesla has an alternative. If you can get your devices widespread and can be recording observations and actions, you can collect huge datasets in the real world.
The first embodied, vaguely general, multi-task, useful and economical robots might just really open up the virtuous cycle of experience, learning, feedback and improvement. If I had to guess where it would come from right now, I'd pick Amazon warehouses.