NIPS Proceedingsβ

Chelsea Finn

7 Papers

  • Guided Meta-Policy Search (2019)
  • Language as an Abstraction for Hierarchical Deep Reinforcement Learning (2019)
  • Meta-Inverse Reinforcement Learning with Probabilistic Context Variables (2019)
  • Meta-Learning with Implicit Gradients (2019)
  • Unsupervised Curricula for Visual Meta-Reinforcement Learning (2019)
  • Probabilistic Model-Agnostic Meta-Learning (2018)
  • Unsupervised Learning for Physical Interaction through Video Prediction (2016)