Danijar Hafner

62 papers A* 18A 2Misc 2Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mastering diverse control tasks through world models. Nat. Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap
2025	A*	`conf`	One Step Diffusion via Shortcut Models. ICLR Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
2025	J	`jnl`	Training Agents Inside of Scalable World Models. CoRR Danijar Hafner, Wilson Yan, Timothy P. Lillicrap
2024	—	`—`	Embodied Intelligence Through World Models Danijar Hafner
2024	A*	`conf`	Learning to Model the World With Language. ICML Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2024	J	`jnl`	One Step Diffusion via Shortcut Models. CoRR Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
2023	A*	`conf`	Evaluating Long-Term Memory in 3D Mazes. ICLR Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
2023	J	`jnl`	Learning to Model the World with Language. CoRR Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
2023	J	`jnl`	Mastering Diverse Domains through World Models. CoRR Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap
2023	A*	`conf`	Temporally Consistent Transformers for Video Generation. ICML Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel
2023	A*	`conf`	Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
2023	J	`jnl`	Video Prediction Models as Rewards for Reinforcement Learning. CoRR Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
2022	A*	`conf`	Benchmarking the Spectrum of Agent Capabilities. ICLR Danijar Hafner
2022	Misc	`conf`	DayDreamer: World Models for Physical Robot Learning. CoRL Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg
2022	J	`jnl`	DayDreamer: World Models for Physical Robot Learning. CoRR Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel
2022	A*	`conf`	Deep Hierarchical Planning from Pixels. NeurIPS Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
2022	J	`jnl`	Deep Hierarchical Planning from Pixels. CoRR Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel
2022	J	`jnl`	Evaluating Long-Term Memory in 3D Mazes. CoRR Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner
2022	A*	`conf`	Learning Robust Dynamics through Variational Sparse Gating. NeurIPS Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Robust Dynamics through Variational Sparse Gating. CoRR Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	Misc	`conf`	Masked World Models for Visual Control. CoRL Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022	J	`jnl`	Masked World Models for Visual Control. CoRR Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel
2022	J	`jnl`	Temporally Consistent Video Transformer for Long-Term Video Prediction. CoRR Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel
2021	J	`jnl`	Benchmarking the Spectrum of Agent Capabilities. CoRR Danijar Hafner
2021	A*	`conf`	Clockwork Variational Autoencoders. NeurIPS Vaibhav Saxena, Jimmy Ba, Danijar Hafner
2021	J	`jnl`	Clockwork Variational Autoencoders. CoRR Vaibhav Saxena, Jimmy Ba, Danijar Hafner
2021	A*	`conf`	Discovering and Achieving Goals via World Models. NeurIPS Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
2021	J	`jnl`	Discovering and Achieving Goals via World Models. CoRR Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
2021	A*	`conf`	Information is Power: Intrinsic Control via Information Capture. NeurIPS Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	J	`jnl`	Information is Power: Intrinsic Control via Information Capture. CoRR Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	A*	`conf`	Latent Skill Planning for Exploration and Transfer. ICLR Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
2021	A*	`conf`	Mastering Atari with Discrete World Models. ICLR Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba
2021	J	`jnl`	Sophisticated Inference. Neural Comput. Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2020	J	`jnl`	Action and Perception as Divergence Minimization. CoRR Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess
2020	A*	`conf`	Dream to Control: Learning Behaviors by Latent Imagination. ICLR Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi
2020	J	`jnl`	Evaluating Agents without Rewards. CoRR Brendon Matusch, Jimmy Ba, Danijar Hafner
2020	J	`jnl`	Mastering Atari with Discrete World Models. CoRR Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba
2020	J	`jnl`	Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning. CoRR Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan
2020	A*	`conf`	Planning to Explore via Self-Supervised World Models. ICML Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
2020	J	`jnl`	Planning to Explore via Self-Supervised World Models. CoRR Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
2020	J	`jnl`	Skill Transfer via Partially Amortized Hierarchical Planning. CoRR Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
2020	J	`jnl`	Sophisticated Inference. CoRR Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr
2019	A*	`conf`	Bayesian Layers: A Module for Neural Network Uncertainty. NeurIPS Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner
2019	—	`conf`	Disorders of Artificial Awareness. AAAI Spring Symposium: Towards Conscious AI Systems Thomas Parr, Danijar Hafner, Karl J. Friston
2019	J	`jnl`	Dream to Control: Learning Behaviors by Latent Imagination. CoRR Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi
2019	A*	`conf`	Learning Latent Dynamics for Planning from Pixels. ICML Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
2019	A	`conf`	Noise Contrastive Priors for Functional Uncertainty. UAI Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson
2019	J	`jnl`	Routing for on-street parking search using probabilistic data. AI Commun. Tobias Friedrich, Martin S. Krejca, Ralf Rothenberger, Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou
2018	J	`jnl`	Bayesian Layers: A Module for Neural Network Uncertainty. CoRR Dustin Tran, Michael W. Dusenberry, Mark van der Wilk, Danijar Hafner
2018	J	`jnl`	Learning Latent Dynamics for Planning from Pixels. CoRR Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson
2018	J	`jnl`	Modulated Policy Hierarchies. CoRR Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid
2018	J	`jnl`	Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. CoRR Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson
2018	A*	`conf`	Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. NeurIPS Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
2018	J	`jnl`	Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. CoRR Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
2018	—	`conf`	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. Robotics: Science and Systems Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
2018	J	`jnl`	Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. CoRR Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke
2017	J	`jnl`	Generative Interest Estimation for Document Recommendations. CoRR Danijar Hafner, Alexander Immer, Willi Raschkowski, Fabian Windheuser
2017	—	`conf`	Learning Hierarchical Information Flow with Recurrent Neural Modules. NIPS Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess
2017	J	`jnl`	Learning Hierarchical Information Flow with Recurrent Neural Modules. CoRR Danijar Hafner, Alex Irpan, James Davidson, Nicolas Heess
2017	J	`jnl`	TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow. CoRR Danijar Hafner, James Davidson, Vincent Vanhoucke
2016	J	`jnl`	Deep Reinforcement Learning From Raw Pixels in Doom. CoRR Danijar Hafner
2016	A	`conf`	Probabilistic Routing for On-Street Parking Search. ESA Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou, Martin S. Krejca, Ralf Rothenberger, Tobias Friedrich