James Davidson
James Davidson
Third Wave Automation
Verified email at - Homepage
Cited by
Cited by
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, 2555-2565, 2019
Robust adversarial reinforcement learning
L Pinto, J Davidson, R Sukthankar, A Gupta
International Conference on Machine Learning, 2817-2826, 2017
Cognitive mapping and planning for visual navigation
S Gupta, J Davidson, S Levine, R Sukthankar, J Malik
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Prm-rl: Long-range robotic navigation tasks by combining reinforcement learning and sampling-based planning
A Faust, K Oslund, O Ramirez, A Francis, L Tapia, M Fiser, J Davidson
2018 IEEE international conference on robotics and automation (ICRA), 5113-5120, 2018
Visual representations for semantic target driven navigation
A Mousavian, A Toshev, M Fišer, J Košecká, A Wahid, J Davidson
2019 International Conference on Robotics and Automation (ICRA), 8846-8852, 2019
Learning 6-dof grasping interaction via deep geometry-aware 3d representations
X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee
2018 IEEE International Conference on Robotics and Automation (ICRA), 3766-3773, 2018
Discrete sequential prediction of continuous actions for deep rl
L Metz, J Ibarz, N Jaitly, J Davidson
arXiv preprint arXiv:1705.05035, 2017
Supervision via competition: Robot adversaries for learning tasks
L Pinto, J Davidson, A Gupta
2017 IEEE International Conference on Robotics and Automation (ICRA), 1601-1608, 2017
Noise contrastive priors for functional uncertainty
D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson
Uncertainty in Artificial Intelligence, 905-914, 2020
Reliable uncertainty estimates in deep neural networks using noise contrastive priors
D Hafner, D Tran, A Irpan, T Lillicrap, J Davidson
stat 1050, 24, 2018
Tensorflow agents: Efficient batched reinforcement learning in tensorflow
D Hafner, J Davidson, V Vanhoucke
arXiv preprint arXiv:1709.02878, 2017
Interpretable intuitive physics model
T Ye, X Wang, J Davidson, A Gupta
Proceedings of the European Conference on Computer Vision (ECCV), 87-102, 2018
Forward-backward reinforcement learning
AD Edwards, L Downs, JC Davidson
arXiv preprint arXiv:1803.10227, 2018
Robotic grasping prediction using neural networks and geometry aware object representation
J Davidson, X Yan, Y Bai, LEE Honglak, A Gupta, SMK Zadeh, A Pathak, ...
US Patent 10,864,631, 2020
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
S Candido, J Davidson, S Hutchinson
2010 IEEE International Conference on Robotics and Automation, 3596-3603, 2010
Modulated policy hierarchies
A Pashevich, D Hafner, J Davidson, R Sukthankar, C Schmid
arXiv preprint arXiv:1812.00025, 2018
Augmenting visible content of ad creatives based on documents associated with linked to destinations
A Mengle, E Dogrultan, JC Davidson
US Patent App. 14/644,643, 2018
Musical instruments, fungal spores and hypersensitivity pneumonitis
J Davidson, J McErlane, K Aljboor, SL Barratt, A Jeyabalan, ARL Medford, ...
QJM: An International Journal of Medicine 112 (4), 287-289, 2019
Learning hierarchical information flow with recurrent neural modules
D Hafner, A Irpan, J Davidson, N Heess
Advances in Neural Information Processing Systems 30, 2017
A sampling hyperbelief optimization technique for stochastic systems
JC Davidson, SA Hutchinson
Algorithmic Foundation of Robotics VIII: Selected Contributions of the Eight …, 2009
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