Recurrent Neural Network Tutorial for Artists
By David R Ha. 2017
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- David R Ha
- J. Urgen Schmidhuber
- Yoshua Bengio
- Sergey Levine
- Quoc V. Le
- Chelsea Finn
- Pieter Abbeel
- Trevor Darrell
Citations in the corpus
- World Models (2018, methodology): “Recent works (Fernando et al., 2017; Salimans et al., 2017; Ha, 2017b; Stanley & Clune, 2017) have confirmed that ES is a viable alternative to traditional Deep RL methods on many strong baselines.”