NIPS Proceedingsβ

Byron Boots

10 Papers

  • Differentiable MPC for End-to-end Planning and Control (2018)
  • Dual Policy Iteration (2018)
  • Learning and Inference in Hilbert Space with Quantum Graphical Models (2018)
  • Orthogonally Decoupled Variational Gaussian Processes (2018)
  • Predictive-State Decoders: Encoding the Future into Recurrent Networks (2017)
  • Predictive State Recurrent Neural Networks (2017)
  • Variational Inference for Gaussian Process Models with Linear Complexity (2017)
  • Incremental Variational Sparse Gaussian Process Regression (2016)
  • Predictive State Temporal Difference Learning (2010)
  • A Constraint Generation Approach to Learning Stable Linear Dynamical Systems (2007)