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Danijar Hafner
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Cited by
Year
Learning Latent Dynamics for Planning from Pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
Proceedings of the International Conference on Machine Learning (ICML), 2019
13642019
Dream to Control: Learning Behaviors by Latent Imagination
D Hafner, T Lillicrap, J Ba, M Norouzi
International Conference on Learning Representations (ICLR), 2019
10352019
A Deep Learning Framework for Neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature Neuroscience 22 (11), 2019
8602019
Sim-to-Real: Learning Agile Locomotion for Quadruped Robots
J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ...
Proceedings of Robotics: Science and Systems (RSS), 2018
7752018
Mastering Atari with Discrete World Models
D Hafner, T Lillicrap, M Norouzi, J Ba
International Conference on Learning Representations (ICLR), 2020
6232020
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
J Buckman, D Hafner, G Tucker, E Brevdo, H Lee
Advances in Neural Information Processing Systems (NeurIPS), 2018
3502018
Planning to Explore via Self-Supervised World Models
R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak
Proceedings of the International Conference on Machine Learning (ICML), 2020
3362020
Mastering Diverse Domains through World Models
D Hafner, J Pasukonis, J Ba, T Lillicrap
arXiv preprint arXiv:2301.04104, 2023
1962023
DayDreamer: World Models for Physical Robot Learning
P Wu, A Escontrela, D Hafner, K Goldberg, P Abbeel
Conference on Robot Learning (CoRL), 2022
1302022
Bayesian Layers: A Module for Neural Network Uncertainty
D Tran, M Dusenberry, M van der Wilk, D Hafner
Advances in Neural Information Processing Systems (NeurIPS), 2019
1232019
Sophisticated Inference
K Friston, L Da Costa, D Hafner, C Hesp, T Parr
Neural Computation 33 (3), 713-763, 2021
1092021
Discovering and Achieving Goals via World Models
R Mendonca, O Rybkin, K Daniilidis, D Hafner, D Pathak
Proceedings of the International Conference on Machine Learning (ICML), 2021
892021
Noise Contrastive Priors for Functional Uncertainty
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence (UAI), 2019
812019
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence (UAI), 2018
712018
Masked World Models for Visual Control
Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel
Conference on Robot Learning (CoRL), 2022
662022
Benchmarking the Spectrum of Agent Capabilities
D Hafner
International Conference on Learning Representations (ICLR), 2021
662021
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
D Hafner, J Davidson, V Vanhoucke
Technical report, 2017
602017
Action and Perception as Divergence Minimization
D Hafner, PA Ortega, J Ba, T Parr, K Friston, N Heess
arXiv preprint arXiv:2009.01791, 2020
552020
Clockwork Variational Autoencoders
V Saxena, J Ba, D Hafner
Advances in Neural Information Processing Systems (NeurIPS), 2021
542021
Deep Hierarchical Planning from Pixels
D Hafner, KH Lee, I Fischer, P Abbeel
Advances in Neural Information Processing Systems (NeurIPS), 2022
422022
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