עקוב אחר
Danijar Hafner
Danijar Hafner
Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
16412019
Dream to Control: Learning Behaviors by Latent Imagination‏
D Hafner, T Lillicrap, J Ba, M Norouzi‏
International Conference on Learning Representations (ICLR), 2019‏
13972019
A Deep Learning Framework for Neuroscience‏
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...‏
Nature Neuroscience 22 (11), 2019‏
9322019
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
9072018
Mastering Atari with Discrete World Models‏
D Hafner, T Lillicrap, M Norouzi, J Ba‏
International Conference on Learning Representations (ICLR), 2020‏
8742020
Mastering Diverse Domains through World Models‏
D Hafner, J Pasukonis, J Ba, T Lillicrap‏
arXiv preprint arXiv:2301.04104, 2023‏
4782023
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
4442020
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
4012018
DayDreamer: World Models for Physical Robot Learning‏
P Wu, A Escontrela, D Hafner, K Goldberg, P Abbeel‏
Conference on Robot Learning (CoRL), 2022‏
2602022
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
1382019
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
1272021
Sophisticated Inference‏
K Friston, L Da Costa, D Hafner, C Hesp, T Parr‏
Neural Computation 33 (3), 713-763, 2021‏
1262021
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
1222022
Benchmarking the Spectrum of Agent Capabilities‏
D Hafner‏
International Conference on Learning Representations (ICLR), 2021‏
1192021
Noise Contrastive Priors for Functional Uncertainty‏
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson‏
Uncertainty in Artificial Intelligence (UAI), 2019‏
952019
Deep Hierarchical Planning from Pixels‏
D Hafner, KH Lee, I Fischer, P Abbeel‏
Advances in Neural Information Processing Systems (NeurIPS), 2022‏
862022
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
Action and Perception as Divergence Minimization‏
D Hafner, PA Ortega, J Ba, T Parr, K Friston, N Heess‏
arXiv preprint arXiv:2009.01791, 2020‏
682020
Clockwork Variational Autoencoders‏
V Saxena, J Ba, D Hafner‏
Advances in Neural Information Processing Systems (NeurIPS), 2021‏
672021
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow‏
D Hafner, J Davidson, V Vanhoucke‏
Technical report, 2017‏
632017
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מאמרים 1–20