Projects Dec 3, 2019 (ICLR 2020 spotlight, DRLW 2019 oral, 4.2%) Dream to Control: Learning Behaviors by Latent Imagination D Hafner, T Lillicrap, J Ba, M Norouzi Oct 28, 2019 (Nature Neuroscience) 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 Dec 10, 2018 (NeurIPS 2019, 21%) Bayesian Layers: A Module for Neural Network Uncertainty D Tran, M Dusenberry, M v d Wilk, D Hafner 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, oral, 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
