Ge Yang
Cited by
Cited by
Learning plannable representations with causal infogan
T Kurutach, A Tamar, G Yang, SJ Russell, P Abbeel
Advances in Neural Information Processing Systems 31, 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
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
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
World model as a graph: Learning latent landmarks for planning
L Zhang, G Yang, BC Stadie
International conference on machine learning, 12611-12620, 2021
Learning task informed abstractions
X Fu, G Yang, P Agrawal, T Jaakkola
International Conference on Machine Learning, 3480-3491, 2021
Coupling a single electron on superfluid helium to a superconducting resonator
G Koolstra, G Yang, DI Schuster
Nature communications 10 (1), 5323, 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
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
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
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
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
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
Overcoming the spectral bias of neural value approximation
G Yang, A Ajay, P Agrawal
arXiv preprint arXiv:2206.04672, 2022
Bilinear value networks
ZW Hong, G Yang, P Agrawal
arXiv preprint arXiv:2204.13695, 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
To the noise and back: Diffusion for shared autonomy
T Yoneda, L Sun, B Stadie, M Walter
arXiv preprint arXiv:2302.12244, 2023
Strong lensing source reconstruction using continuous neural fields
S Mishra-Sharma, G Yang
arXiv preprint arXiv:2206.14820, 2022
Bi-linear value networks for multi-goal reinforcement learning
ZW Hong, G Yang, P Agrawal
International Conference on Learning Representations, 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
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