Danijar Hafner

According to our database, Danijar Hafner authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Model the World With Language.

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Mastering Diverse Domains through World Models.

Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, Timothy P. Lillicrap

CoRR, 2023

Video Prediction Models as Rewards for Reinforcement Learning.

Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Temporally Consistent Transformers for Video Generation.

Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel

Proceedings of the International Conference on Machine Learning, 2023

Evaluating Long-Term Memory in 3D Mazes.

Jurgis Pasukonis, Timothy P. Lillicrap, Danijar Hafner

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Temporally Consistent Video Transformer for Long-Term Video Prediction.

Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel

CoRR, 2022

Learning Robust Dynamics through Variational Sparse Gating.

Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Hierarchical Planning from Pixels.

Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benchmarking the Spectrum of Agent Capabilities.

Danijar Hafner

Proceedings of the Tenth International Conference on Learning Representations, 2022

DayDreamer: World Models for Physical Robot Learning.

Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg

Proceedings of the Conference on Robot Learning, 2022

Masked World Models for Visual Control.

Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

Proceedings of the Conference on Robot Learning, 2022

2021

Sophisticated Inference.

Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr

Neural Comput., 2021

Clockwork Variational Autoencoders.

Vaibhav Saxena, Jimmy Ba, Danijar Hafner

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information is Power: Intrinsic Control via Information Capture.

Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discovering and Achieving Goals via World Models.

Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Latent Skill Planning for Exploration and Transfer.

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

Proceedings of the 9th International Conference on Learning Representations, 2021

Mastering Atari with Discrete World Models.

Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Evaluating Agents without Rewards.

Brendon Matusch, Jimmy Ba, Danijar Hafner

CoRR, 2020

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning.

Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan

CoRR, 2020

Skill Transfer via Partially Amortized Hierarchical Planning.

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

CoRR, 2020

Action and Perception as Divergence Minimization.

Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess

CoRR, 2020

Planning to Explore via Self-Supervised World Models.

Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

Proceedings of the 37th International Conference on Machine Learning, 2020

Dream to Control: Learning Behaviors by Latent Imagination.

Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Routing for on-street parking search using probabilistic data.

Tobias Friedrich, Martin S. Krejca, Ralf Rothenberger, Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou

AI Commun., 2019

Noise Contrastive Priors for Functional Uncertainty.

Danijar Hafner, Dustin Tran, Timothy P. Lillicrap, Alex Irpan, James Davidson

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Bayesian Layers: A Module for Neural Network Uncertainty.

Dustin Tran, Mike Dusenberry, Mark van der Wilk, Danijar Hafner

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Latent Dynamics for Planning from Pixels.

Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

Proceedings of the 36th International Conference on Machine Learning, 2019

Disorders of Artificial Awareness.

Thomas Parr, Danijar Hafner, Karl J. Friston

Proceedings of the Papers of the 2019 Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 2019

2018

Modulated Policy Hierarchies.

Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid

CoRR, 2018

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors.

Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson

CoRR, 2018

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke

Proceedings of the Robotics: Science and Systems XIV, 2018

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.

Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Generative Interest Estimation for Document Recommendations.

Danijar Hafner, Alexander Immer, Willi Raschkowski, Fabian Windheuser

CoRR, 2017

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow.

Danijar Hafner, James Davidson, Vincent Vanhoucke

CoRR, 2017

Learning Hierarchical Information Flow with Recurrent Neural Modules.

Danijar Hafner, Alexander Irpan, James Davidson, Nicolas Heess

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Deep Reinforcement Learning From Raw Pixels in Doom.

Danijar Hafner

CoRR, 2016

Probabilistic Routing for On-Street Parking Search.

Tobias Arndt, Danijar Hafner, Thomas Kellermeier, Simon Krogmann, Armin Razmjou, Martin S. Krejca, Ralf Rothenberger, Tobias Friedrich

Proceedings of the 24th Annual European Symposium on Algorithms, 2016