| 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 | 1577 | 2019 |
| Robust adversarial reinforcement learning L Pinto, J Davidson, R Sukthankar, A Gupta International conference on machine learning, 2817-2826, 2017 | 1013 | 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 | 825 | 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 | 372 | 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 | 237 | 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 | 139 | 2018 |
| Discrete sequential prediction of continuous actions for deep rl L Metz, J Ibarz, N Jaitly, J Davidson arXiv preprint arXiv:1705.05035, 2017 | 130 | 2017 |
| Noise contrastive priors for functional uncertainty D Hafner, D Tran, T Lillicrap, A Irpan, J Davidson Uncertainty in Artificial Intelligence, 905-914, 2020 | 93 | 2020 |
| 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 | 92 | 2017 |
| 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 | 70 | 2018 |
| Tensorflow agents: Efficient batched reinforcement learning in tensorflow D Hafner, J Davidson, V Vanhoucke arXiv preprint arXiv:1709.02878, 2017 | 62 | 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 | 61 | 2018 |
| Forward-backward reinforcement learning AD Edwards, L Downs, JC Davidson arXiv preprint arXiv:1803.10227, 2018 | 51 | 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 | 25 | 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 | 19 | 2010 |
| 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 | 16 | 2018 |
| Modulated policy hierarchies A Pashevich, D Hafner, J Davidson, R Sukthankar, C Schmid arXiv preprint arXiv:1812.00025, 2018 | 15 | 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 | 14 | 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 | 14 | 2017 |
| A sampling hyperbelief optimization technique for stochastic systems JC Davidson, SA Hutchinson Algorithmic Foundation of Robotics VIII: Selected Contributions of the Eight …, 2009 | 9 | 2009 |
