Danijar Hafner
Twitter Scholar Github

Projects

  • Feb 18, 2021

    Clockwork Variational Autoencoders

    V Saxena, J Ba, D Hafner Preprint

    Paper Twitter Dataset

  • Dec 21, 2020

    Evaluating Agents without Rewards

    B Matusch, J Ba, D Hafner BARL 2020 (oral)

    Paper Twitter Dataset Code

  • Nov 27, 2020

    Skill Transfer via Partially Amortized Hierarchical Planning

    K Xie, H Bharadhwaj, D Hafner, A Garg, F Shkurti ICLR 2021 (28%)

    Paper Videos

  • Oct 2, 2020

    Mastering Atari with Discrete World Models

    D Hafner, T Lillicrap, M Norouzi, J Ba ICLR 2021 (28%)

    Blog Paper Twitter Poster Code

  • Sep 3, 2020

    Action and Perception as Divergence Minimization

    D Hafner, P Ortega, J Ba, T Parr, K Friston, N Heess DRLW 2020

    Paper Twitter Poster FAQs

  • May 12, 2020

    Planning to Explore via Self-Supervised World Models

    R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak ICML 2020 (22%)

    Blog Paper Code Twitter Talk Website

  • Dec 3, 2019

    Dream to Control: Learning Behaviors by Latent Imagination

    D Hafner, T Lillicrap, J Ba, M Norouzi ICLR 2020 (oral, 4%), DRLW 2019 (oral)

    Blog Paper Twitter Poster Videos Code

  • Oct 28, 2019

    A Deep Learning Framework for Neuroscience

    Richards, Lillicrap, Beaudoi, Bengio, Bogacz, Christensen, Clopath, Costa, Berker, Ganguli, Gillon, Hafner, Kepecs, Kriegeskorte, Latham, Lindsay, Miller, Naud, Pack, Poirazi, Roelfsema, Sacramento, Saxe, Scellier, Schapiro, Senn, Wayne, Yamins, Zenke, Zylberberg, Therien, Kording Nature Neuroscience

    Paper Twitter

  • Dec 10, 2018

    Bayesian Layers: A Module for Neural Network Uncertainty

    D Tran, M Dusenberry, M v d Wilk, D Hafner NeurIPS 2019, 21%

    Paper Poster Code

  • Nov 30, 2018

    Modulated Policy Hierarchies

    A Pashevich, D Hafner, J Davidson, R Sukthankar, C Schmid DRLW 2018

    Paper Poster

  • Jul 24, 2018

    Noise Contrastive Priors for Functional Uncertainty

    D Hafner, D Tran, A Irpan, T Lillicrap, J Davidson UAI 2019 (26%)

    Paper Poster Code

  • Jul 15, 2018

    Learning Latent Dynamics for Planning from Pixels

    D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson ICML 2019 (oral, 23%)

    Blog Paper Poster Code

  • Jul 14, 2018

    Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

    J Buckman, D Hafner, G Tucker, E Brevdo, H Lee NeurIPS 2018 (oral, 0.6%)

    Paper Poster Talk Code

  • Apr 27, 2018

    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 RSS 2018 (oral, 31%)

    Paper

  • Nov 8, 2017

    TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

    D Hafner, J Davidson, V Vanhoucke Tech report

    Paper Code

  • Jul 18, 2017

    Learning Hierarchical Information Flow with Recurrent Neural Modules

    D Hafner, A Irpan, J Davidson, N Heess NIPS 2017 (21%)

    Paper Poster

  • Aug 22, 2016

    Probabilistic Routing for On-Street Parking Search

    T Arndt, D Hafner, T Kellermeier, S Krogmann, A Razmjou, M Krejca, R Rothenberger, T Friedrich ESA 2016, oral, 27%

    Paper Dataset

  • Jul 15, 2016

    Deep Reinforcement Learning from Raw Pixels in Doom

    D Hafner BSc thesis

    Thesis Code