Hafner, Danijar

28 publications

ICLR 2025 One Step Diffusion via Shortcut Models Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel

ICML 2024 Learning to Model the World with Language Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan

ICLR 2023 Evaluating Long-Term Memory in 3D Mazes Jurgis Pašukonis, Timothy P Lillicrap, Danijar Hafner

ICML 2023 Temporally Consistent Transformers for Video Generation Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel

NeurIPS 2023 Video Prediction Models as Rewards for Reinforcement Learning Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay N. Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel

ICLR 2022 Benchmarking the Spectrum of Agent Capabilities Danijar Hafner

CoRL 2022 DayDreamer: World Models for Physical Robot Learning Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg

NeurIPS 2022 Deep Hierarchical Planning from Pixels Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel

NeurIPSW 2022 Evaluating Long-Term Memory in 3D Mazes Jurgis Pašukonis, Timothy P Lillicrap, Danijar Hafner

NeurIPSW 2022 Guiding Exploration Towards Impactful Actions Vaibhav Saxena, Jimmy Ba, Danijar Hafner

NeurIPS 2022 Learning Robust Dynamics Through Variational Sparse Gating Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou

CoRL 2022 Masked World Models for Visual Control Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

NeurIPSW 2021 Benchmarking the Spectrum of Agent Capabilities Danijar Hafner

NeurIPS 2021 Clockwork Variational Autoencoders Vaibhav Saxena, Jimmy Ba, Danijar Hafner

NeurIPS 2021 Discovering and Achieving Goals via World Models Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

ICMLW 2021 Discovering and Achieving Goals with World Models Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

NeurIPS 2021 Information Is Power: Intrinsic Control via Information Capture Nicholas Rhinehart, Jenny Wang, Glen Berseth, John Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICMLW 2021 Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

ICLR 2021 Latent Skill Planning for Exploration and Transfer Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

NeurIPSW 2021 Learning Robust Dynamics Through Variational Sparse Gating Arnav Kumar Jain, Shiva Kanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou

ICLR 2021 Mastering Atari with Discrete World Models Danijar Hafner, Timothy P Lillicrap, Mohammad Norouzi, Jimmy Ba

ICLR 2020 Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi

ICML 2020 Planning to Explore via Self-Supervised World Models Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

NeurIPS 2019 Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner

ICML 2019 Learning Latent Dynamics for Planning from Pixels Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

UAI 2019 Noise Contrastive Priors for Functional Uncertainty Danijar Hafner, Dustin Tran, Timothy Lillicrap, Alex Irpan, James Davidson

NeurIPS 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee

NeurIPS 2017 Learning Hierarchical Information Flow with Recurrent Neural Modules Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess