Prototypical case of the 80/20 rule. He has implemented the happy case. But that system is nothing people realistically would want to drive their cars. What he did is impressive. But the results are not that outlandish for a talented person. 1) Hook up a computer to the CAN-Bus network of the car [1] and attach a bunch of sensor peripherals. 2) Drive around for some time and record everything to disk. 3) Implement so…
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 Sta…
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-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.