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Danijar Hafner
Tytuł
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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
12632019
Dream to Control: Learning Behaviors by Latent Imagination
D Hafner, T Lillicrap, J Ba, M Norouzi
International Conference on Learning Representations (ICLR), 2019
9282019
A Deep Learning Framework for Neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature Neuroscience 22 (11), 2019
7862019
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
7402018
Mastering Atari with Discrete World Models
D Hafner, T Lillicrap, M Norouzi, J Ba
International Conference on Learning Representations (ICLR), 2020
5332020
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
3272018
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
3022020
Mastering Diverse Domains through World Models
D Hafner, J Pasukonis, J Ba, T Lillicrap
arXiv preprint arXiv:2301.04104, 2023
1192023
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
1182019
DayDreamer: World Models for Physical Robot Learning
P Wu, A Escontrela, D Hafner, K Goldberg, P Abbeel
Conference on Robot Learning (CoRL), 2022
1042022
Sophisticated Inference
K Friston, L Da Costa, D Hafner, C Hesp, T Parr
Neural Computation 33 (3), 713-763, 2021
962021
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
782021
Noise Contrastive Priors for Functional Uncertainty
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence (UAI), 2019
762019
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
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
D Hafner, J Davidson, V Vanhoucke
Technical report, 2017
572017
Benchmarking the Spectrum of Agent Capabilities
D Hafner
International Conference on Learning Representations (ICLR), 2021
532021
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
522022
Clockwork Variational Autoencoders
V Saxena, J Ba, D Hafner
Advances in Neural Information Processing Systems (NeurIPS), 2021
492021
Action and Perception as Divergence Minimization
D Hafner, PA Ortega, J Ba, T Parr, K Friston, N Heess
arXiv preprint arXiv:2009.01791, 2020
492020
TensorFlow for Machine Intelligence
S Abrahams, D Hafner, E Erwitt, A Scarpinelli
Bleeding Edge Press, 2016
352016
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