Ikuti
Danijar Hafner
Judul
Dikutip oleh
Dikutip oleh
Tahun
Learning Latent Dynamics for Planning from Pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
International Conference on Machine Learning, 2019
17292019
Dream to Control: Learning Behaviors by Latent Imagination
D Hafner, T Lillicrap, J Ba, M Norouzi
International Conference on Learning Representations, 2019
15052019
A Deep Learning Framework for Neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature Neuroscience 22 (11), 2019
9802019
Mastering Atari with Discrete World Models
D Hafner, T Lillicrap, M Norouzi, J Ba
International Conference on Learning Representations, 2020
9542020
Sim-to-Real: Learning Agile Locomotion for Quadruped Robots
J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ...
Robotics: Science and Systems, 2018
9382018
Mastering Diverse Domains through World Models
D Hafner, J Pasukonis, J Ba, T Lillicrap
arXiv preprint arXiv:2301.04104, 2023
5792023
Planning to Explore via Self-Supervised World Models
R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak
International Conference on Machine Learning, 2020
4652020
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, 2018
4172018
DayDreamer: World Models for Physical Robot Learning
P Wu, A Escontrela, D Hafner, K Goldberg, P Abbeel
Conference on Robot Learning, 2022
2912022
Bayesian Layers: A Module for Neural Network Uncertainty
D Tran, M Dusenberry, M van der Wilk, D Hafner
Advances in Neural Information Processing Systems, 2019
1432019
Masked World Models for Visual Control
Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel
Conference on Robot Learning, 2022
1412022
Sophisticated Inference
K Friston, L Da Costa, D Hafner, C Hesp, T Parr
Neural Computation 33 (3), 713-763, 2021
1372021
Discovering and Achieving Goals via World Models
R Mendonca, O Rybkin, K Daniilidis, D Hafner, D Pathak
International Conference on Machine Learning, 2021
1342021
Benchmarking the Spectrum of Agent Capabilities
D Hafner
International Conference on Learning Representations, 2021
1322021
Deep Hierarchical Planning from Pixels
D Hafner, KH Lee, I Fischer, P Abbeel
Advances in Neural Information Processing Systems, 2022
1032022
Noise Contrastive Priors for Functional Uncertainty
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence (UAI), 2019
992019
Action and Perception as Divergence Minimization
D Hafner, PA Ortega, J Ba, T Parr, K Friston, N Heess
arXiv preprint arXiv:2009.01791, 2020
752020
Clockwork Variational Autoencoders
V Saxena, J Ba, D Hafner
Advances in Neural Information Processing Systems, 2021
722021
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
722018
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
D Hafner, J Davidson, V Vanhoucke
Technical report, 2017
672017
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