Danijar Hafner

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 56

Top Topics

Dempster Shafer

Adjacent Pixels

Temporally Consistent

Top Venues

Publications

Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel
Temporally Consistent Transformers for Video Generation. ICML (2023)
Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
Learning to Model the World with Language. CoRR (2023)
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS (2023)
Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
Evaluating Long-Term Memory in 3D Mazes. ICLR (2023)
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap
Mastering Diverse Domains through World Models. CoRR (2023)
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Video Prediction Models as Rewards for Reinforcement Learning. CoRR (2023)
Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel
Temporally Consistent Video Transformer for Long-Term Video Prediction. CoRR (2022)
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Learning Robust Dynamics through Variational Sparse Gating. NeurIPS (2022)
Danijar Hafner
Benchmarking the Spectrum of Agent Capabilities. ICLR (2022)
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
Learning Robust Dynamics through Variational Sparse Gating. CoRR (2022)
Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
Deep Hierarchical Planning from Pixels. NeurIPS (2022)
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
Masked World Models for Visual Control. CoRL (2022)
Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg
DayDreamer: World Models for Physical Robot Learning. CoRL (2022)
Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
Evaluating Long-Term Memory in 3D Mazes. CoRR (2022)
Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
Masked World Models for Visual Control. CoRR (2022)
Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
Deep Hierarchical Planning from Pixels. CoRR (2022)
Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel
DayDreamer: World Models for Physical Robot Learning. CoRR (2022)
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
Information is Power: Intrinsic Control via Information Capture. NeurIPS (2021)
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Latent Skill Planning for Exploration and Transfer. ICLR (2021)
Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba
Mastering Atari with Discrete World Models. ICLR (2021)
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
Clockwork Variational Autoencoders. NeurIPS (2021)
Danijar Hafner
Benchmarking the Spectrum of Agent Capabilities. CoRR (2021)
Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
Sophisticated Inference. Neural Comput. 33 (3) (2021)
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
Clockwork Variational Autoencoders. CoRR (2021)
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
Discovering and Achieving Goals via World Models. CoRR (2021)
Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
Information is Power: Intrinsic Control via Information Capture. CoRR (2021)
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
Discovering and Achieving Goals via World Models. NeurIPS (2021)
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Skill Transfer via Partially Amortized Hierarchical Planning. CoRR (2020)
Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi
Dream to Control: Learning Behaviors by Latent Imagination. ICLR (2020)
Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess
Action and Perception as Divergence Minimization. CoRR (2020)
Brendon Matusch, Jimmy Ba, Danijar Hafner
Evaluating Agents without Rewards. CoRR (2020)
Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
Sophisticated Inference. CoRR (2020)
Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba
Mastering Atari with Discrete World Models. CoRR (2020)
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
Planning to Explore via Self-Supervised World Models. ICML (2020)
Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. CoRR (2020)
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
Planning to Explore via Self-Supervised World Models. CoRR (2020)
Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner
Bayesian Layers: A Module for Neural Network Uncertainty. NeurIPS (2019)
Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi
Dream to Control: Learning Behaviors by Latent Imagination. CoRR (2019)
Tobias Friedrich, Martin S. Krejca, Ralf Rothenberger, Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou
Routing for on-street parking search using probabilistic data. AI Commun. 32 (2) (2019)
Thomas Parr, Danijar Hafner, Karl J. Friston
Disorders of Artificial Awareness. AAAI Spring Symposium: Towards Conscious AI Systems (2019)
Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson
Noise Contrastive Priors for Functional Uncertainty. UAI (2019)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. ICML (2019)
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. NeurIPS (2018)
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. CoRR (2018)
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. Robotics: Science and Systems (2018)
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. CoRR (2018)
Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
Learning Latent Dynamics for Planning from Pixels. CoRR (2018)
Dustin Tran, Michael W. Dusenberry, Mark van der Wilk, Danijar Hafner
Bayesian Layers: A Module for Neural Network Uncertainty. CoRR (2018)
Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid
Modulated Policy Hierarchies. CoRR (2018)
Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. CoRR (2018)
Danijar Hafner, James Davidson, Vincent Vanhoucke
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. CoRR (2017)
Danijar Hafner, Alexander Immer, Willi Raschkowski, Fabian Windheuser
Generative Interest Estimation for Document Recommendations. CoRR (2017)
Danijar Hafner, Alex Irpan, James Davidson, Nicolas Heess
Learning Hierarchical Information Flow with Recurrent Neural Modules. CoRR (2017)
Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess
Learning Hierarchical Information Flow with Recurrent Neural Modules. NIPS (2017)
Danijar Hafner
Deep Reinforcement Learning From Raw Pixels in Doom. CoRR (2016)
Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou, Martin S. Krejca, Ralf Rothenberger, Tobias Friedrich
Probabilistic Routing for On-Street Parking Search. ESA (2016)