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The article shows a useful neural network model for changing direction depending on an input. However, I'm not sure what this has to do with deep learning as th
by nurettin 9y ago
The article shows a useful neural network model for changing direction depending on an input. However, I'm not sure what this has to do with deep learning as there is only one hidden layer and even that one is only fully connected to output. Edit: also, why evolve weights when you can backpropagate?
- T-A 9y agohttps://eng.uber.com/deep-neuroevolution/ https://eng.uber.com/deep-neuroevolution/
- Matumio 9y agoEven random search (in the weight space) can outperform gradient-based deep reinforcement learning algorithms on some Atari games. Genetic algorithms are quite competitive. Paper: https://arxiv.org/abs/1712.06567v1 https://arxiv.org/abs/1712.06567v1