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Super interesting work - and thanks for the links! Maybe the parent was talking about applying DRL to dynamical systems? For instance, making a robot learn how
by blueblisters 5y ago
Super interesting work - and thanks for the links! Maybe the parent was talking about applying DRL to dynamical systems? For instance, making a robot learn how to tighten a screw, or pick and place from arbitrary locations? I think these are still very hard to solve with DRL because it's very difficult to simulate things like contact forces, even with generous error bounds.
I suspect DRL will become extremely useful once we figure out how to use learned priors of the physical world to build more and more complex systems.
- NalNezumi 5y agoP&P (and peg-in-hole) are two popular problem domains for robotics and there's a couple of academic success applying DRL+ Domain Randomization techniques (or any sim2real) to that. There's some daunting limitation to it though; and there are other DL/analytic methods that does it at the same level.