NIPS Proceedingsβ

David Hsu

6 Papers

  • QMDP-Net: Deep Learning for Planning under Partial Observability (2017)
  • Adaptive Stochastic Optimization: From Sets to Paths (2015)
  • DESPOT: Online POMDP Planning with Regularization (2013)
  • Monte Carlo Value Iteration with Macro-Actions (2011)
  • Learning Spike-Based Correlations and Conditional Probabilities in Silicon (2001)
  • A Silicon Primitive for Competitive Learning (2000)