NIPS Proceedingsβ

Timothy Lillicrap

8 Papers

  • Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures (2018)
  • Learning Attractor Dynamics for Generative Memory (2018)
  • Relational recurrent neural networks (2018)
  • A simple neural network module for relational reasoning (2017)
  • Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning (2017)
  • Matching Networks for One Shot Learning (2016)
  • Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes (2016)
  • Learning Continuous Control Policies by Stochastic Value Gradients (2015)