NIPS Proceedingsβ

Shixiang (Shane) Gu

6 Papers

  • Language as an Abstraction for Hierarchical Deep Reinforcement Learning (2019)
  • SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies (2019)
  • Data-Efficient Hierarchical Reinforcement Learning (2018)
  • Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning (2017)
  • Neural Adaptive Sequential Monte Carlo (2015)
  • Particle Gibbs for Infinite Hidden Markov Models (2015)