NIPS Proceedingsβ

Andre Barreto

7 Papers

  • Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates (2019)
  • The Option Keyboard: Combining Skills in Reinforcement Learning (2019)
  • Fast deep reinforcement learning using online adjustments from the past (2018)
  • Natural Value Approximators: Learning when to Trust Past Estimates (2017)
  • Successor Features for Transfer in Reinforcement Learning (2017)
  • On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization (2012)
  • Reinforcement Learning using Kernel-Based Stochastic Factorization (2011)