Projects

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  Feb 18, 2021

  Clockwork Variational Autoencoders

  V Saxena, J Ba, D Hafner

  Preprint

  Paper Twitter Dataset

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  Dec 21, 2020

  Evaluating Agents without Rewards

  B Matusch, J Ba, D Hafner

  BARL 2020 (oral)

  Paper Twitter Dataset Code

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  Nov 27, 2020

  Latent Skill Planning for Exploration and Transfer

  K Xie, H Bharadhwaj, D Hafner, A Garg, F Shkurti

  ICLR 2021 (28%)

  Paper Videos

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  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

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  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

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  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

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  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

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  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

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  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

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  Nov 30, 2018

  Modulated Policy Hierarchies

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

  DRLW 2018

  Paper Poster

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  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

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  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

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  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

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  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

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  Nov 8, 2017

  TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow

  D Hafner, J Davidson, V Vanhoucke

  Tech report

  Paper Code

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  Jul 18, 2017

  Learning Hierarchical Information Flow with Recurrent Neural Modules

  D Hafner, A Irpan, J Davidson, N Heess

  NIPS 2017 (21%)

  Paper Poster

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  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

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  Jul 15, 2016

  Deep Reinforcement Learning from Raw Pixels in Doom

  D Hafner

  BSc thesis

  Thesis Code