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Agents that are embodied and can do interventions in their environment have a chance to go beyond correlation learning. They can formulate hypothesis and try th
by visarga 5y ago
Agents that are embodied and can do interventions in their environment have a chance to go beyond correlation learning. They can formulate hypothesis and try them out in the real world, like a scientist.
- whatever1 5y agoThing is that you dont have to formulate hypotheses for things we have figured out. We, humans have already figured out for example that momentum balance holds, so when we make trajectory predictions, this (differential) equality is a hard constraint in our calculations. A DNN cannot guarantee that its predictions respect momentum balance. By proper training you can just only reduce the probability of violating it. It is plainly a wrong tool for the task.