| Learning plannable representations with causal infogan T Kurutach, A Tamar, G Yang, SJ Russell, P Abbeel Advances in Neural Information Processing Systems 31, 2018 | 193 | 2018 |
| Some considerations on learning to explore via meta-reinforcement learning BC Stadie, G Yang, R Houthooft, X Chen, Y Duan, Y Wu, P Abbeel, ... arXiv preprint arXiv:1803.01118, 2018 | 127 | 2018 |
| Measurements of quasiparticle tunneling dynamics in a band-gap-engineered transmon qubit L Sun, L DiCarlo, MD Reed, G Catelani, LS Bishop, DI Schuster, ... Physical review letters 108 (23), 230509, 2012 | 127 | 2012 |
| Rapid locomotion via reinforcement learning GB Margolis, G Yang, K Paigwar, T Chen, P Agrawal The International Journal of Robotics Research 43 (4), 572-587, 2024 | 114 | 2024 |
| World model as a graph: Learning latent landmarks for planning L Zhang, G Yang, BC Stadie International conference on machine learning, 12611-12620, 2021 | 69 | 2021 |
| Learning task informed abstractions X Fu, G Yang, P Agrawal, T Jaakkola International Conference on Machine Learning, 3480-3491, 2021 | 56 | 2021 |
| Coupling a single electron on superfluid helium to a superconducting resonator G Koolstra, G Yang, DI Schuster Nature communications 10 (1), 5323, 2019 | 53 | 2019 |
| Coupling an ensemble of electrons on superfluid helium to a superconducting circuit G Yang, A Fragner, G Koolstra, L Ocola, DA Czaplewski, RJ Schoelkopf, ... Physical Review X 6 (1), 011031, 2016 | 46 | 2016 |
| The importance of sampling inmeta-reinforcement learning B Stadie, G Yang, R Houthooft, P Chen, Y Duan, Y Wu, P Abbeel, ... Advances in Neural Information Processing Systems 31, 2018 | 35 | 2018 |
| Single electrons on solid neon as a solid-state qubit platform X Zhou, G Koolstra, X Zhang, G Yang, X Han, B Dizdar, X Li, R Divan, ... Nature 605 (7908), 46-50, 2022 | 34 | 2022 |
| Neural volumetric memory for visual locomotion control R Yang, G Yang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Distilled feature fields enable few-shot language-guided manipulation W Shen, G Yang, A Yu, J Wong, LP Kaelbling, P Isola arXiv preprint arXiv:2308.07931, 2023 | 29 | 2023 |
| Plan2vec: Unsupervised representation learning by latent plans G Yang, A Zhang, A Morcos, J Pineau, P Abbeel, R Calandra Learning for Dynamics and Control, 935-946, 2020 | 26 | 2020 |
| Overcoming the spectral bias of neural value approximation G Yang, A Ajay, P Agrawal arXiv preprint arXiv:2206.04672, 2022 | 16 | 2022 |
| Bilinear value networks ZW Hong, G Yang, P Agrawal arXiv preprint arXiv:2204.13695, 2022 | 10 | 2022 |
| Electron charge qubit with 0.1 millisecond coherence time X Zhou, X Li, Q Chen, G Koolstra, G Yang, B Dizdar, Y Huang, CS Wang, ... Nature Physics 20 (1), 116-122, 2024 | 9 | 2024 |
| Strong lensing source reconstruction using continuous neural fields S Mishra-Sharma, G Yang arXiv preprint arXiv:2206.14820, 2022 | 7 | 2022 |
| To the noise and back: Diffusion for shared autonomy T Yoneda, L Sun, B Stadie, M Walter arXiv preprint arXiv:2302.12244, 2023 | 6 | 2023 |
| Bi-linear value networks for multi-goal reinforcement learning ZW Hong, G Yang, P Agrawal International Conference on Learning Representations, 2021 | 6 | 2021 |
| Compositional sculpting of iterative generative processes T Garipov, S De Peuter, G Yang, V Garg, S Kaski, T Jaakkola Advances in neural information processing systems 36, 12665-12702, 2023 | 5 | 2023 |
Bradly StadieAssistant Professor, NorthwesternПотвърден имейл адрес: northwestern.edu
