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Why is deep learning this magic pixie dust you sprinkle on anything and it works? Have the people who are suggesting this actually gotten deep reinforcement lea
by argonaut 11y ago
Why is deep learning this magic pixie dust you sprinkle on anything and it works? Have the people who are suggesting this actually gotten deep reinforcement learning to work on complex, long-time-frame, real-world continuous control problems before?
I would be very surprised if you got deep reinforcement learning to perform well on a self-driving task, even on a highway. If you did, well, your faculty position at Stanford is waiting for you.
- LoSboccacc 11y agothey're very powerful calssificators and from the outside it seems they can learn to distinguish between arbitrarily complex states. more states? add neurons! more search space? add layers! except they have unpredictable resonances, especially multi-layer networks: http://www.i-programmer.info/news/105-artificial-intelligence/8064-the-deep-flaw-in-all-neural-networks.html http://www.i-programmer.info/news/105-artificial-intelligenc... they're just starting to understand this, but I believe the myth of the 'do it all dnn' is gonna die. it's time to start thinking about cluster of independent neural network, supervising each an independent aspect of the search space and/or each other.