Danijar Hafner
Posts Publications Materials

Projects

  • Dec 3, 2019  (NeurIPS DRL Workshop 2019, oral)

    Dream to Control: Learning Behaviors by Latent Imagination

    D Hafner, T Lillicrap, J Ba, M Norouzi
  • Dec 10, 2018  (NeurIPS 2019, 21%)

    Bayesian Layers: A Module for Neural Network Uncertainty

    D Tran, M Dusenberry, M v d Wilk, D Hafner
  • Nov 30, 2018  (NeurIPS DRL Workshop 2018)

    Modulated Policy Hierarchies

    A Pashevich, D Hafner, J Davidson, R Sukthankar, C Schmid
  • Jul 24, 2018  (UAI 2019, 26%)

    Noise Contrastive Priors for Functional Uncertainty

    D Hafner, D Tran, A Irpan, T Lillicrap, J Davidson
  • Jul 14, 2018  (NeurIPS 2018, oral 0.6%)

    Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

    J Buckman, D Hafner, G Tucker, E Brevdo, H Lee
  • Jul 4, 2018  (ICML 2019, oral 23%)

    Learning Latent Dynamics for Planning from Pixels

    D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
  • Apr 27, 2018  (RSS 2018, oral 31%)

    Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

    J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, V Vanhoucke
  • Nov 8, 2017  (Tech report)

    TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

    D Hafner, J Davidson, V Vanhoucke
  • Jul 18, 2017  (NIPS 2017, 21%)

    Learning Hierarchical Information Flow with Recurrent Neural Modules

    D Hafner, A Irpan, J Davidson, N Heess
  • Aug 22, 2016  (ESA 2016, 27%)

    Probabilistic Routing for On-Street Parking Search

    T Arndt, D Hafner, T Kellermeier, S Krogmann, A Razmjou, M Krejca, R Rothenberger, T Friedrich
  • Jul 15, 2016  (BSc thesis)

    Deep Reinforcement Learning From Raw Pixels in Doom

    D Hafner

Danijar Hafner

  • [email protected]
  • danijar
  • danijarh

Researcher aiming to build intelligent machines based on concepts of the human brain.