NIPS Proceedingsβ

Ke Tang

5 Papers

  • Explicit Planning for Efficient Exploration in Reinforcement Learning (2019)
  • Optimal Stochastic and Online Learning with Individual Iterates (2019)
  • Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities (2018)
  • Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning (2017)
  • Subset Selection under Noise (2017)