NIPS Proceedingsβ

Yuhuai Wu

6 Papers

  • The Importance of Sampling inMeta-Reinforcement Learning (2018)
  • Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (2017)
  • Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference (2017)
  • Architectural Complexity Measures of Recurrent Neural Networks (2016)
  • On Multiplicative Integration with Recurrent Neural Networks (2016)
  • Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations (2016)