NIPS Proceedingsβ

Thomas B. Schön

5 Papers

  • Robust exploration in linear quadratic reinforcement learning (2019)
  • Learning convex bounds for linear quadratic control policy synthesis (2018)
  • Linearly constrained Gaussian processes (2017)
  • Sequential Monte Carlo for Graphical Models (2014)
  • Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC (2013)