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Xinyang Geng
Xinyang Geng
Google DeepMind
Adresă de e-mail confirmată pe google.com - Pagina de pornire
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Real-time user-guided image colorization with learned deep priors
R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros
arXiv preprint arXiv:1705.02999, 2017
6882017
Automatic Goal Generation for Reinforcement Learning Agents
C Florensa, D Held, X Geng, P Abbeel
International Conference on Machine Learning, 1514-1523, 2018
508*2018
Koala: A dialogue model for academic research
X Geng, A Gudibande, H Liu, E Wallace, P Abbeel, S Levine, D Song
Blog post, April 1, 2023
1222023
Deep reinforcement learning for tensegrity robot locomotion
M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ...
2017 IEEE international conference on robotics and automation (ICRA), 634-641, 2017
1192017
Rewriting history with inverse rl: Hindsight inference for policy improvement
B Eysenbach, X Geng, S Levine, RR Salakhutdinov
Advances in neural information processing systems 33, 14783-14795, 2020
982020
The false promise of imitating proprietary llms
A Gudibande, E Wallace, C Snell, X Geng, H Liu, P Abbeel, S Levine, ...
arXiv preprint arXiv:2305.15717, 2023
902023
Dynamical distance learning for semi-supervised and unsupervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
812019
Multimodal masked autoencoders learn transferable representations
X Geng, H Liu, L Lee, D Schuurmans, S Levine, P Abbeel
arXiv preprint arXiv:2205.14204, 2022
672022
Conservative objective models for effective offline model-based optimization
B Trabucco, A Kumar, X Geng, S Levine
International Conference on Machine Learning, 10358-10368, 2021
662021
Design-bench: Benchmarks for data-driven offline model-based optimization
B Trabucco, X Geng, A Kumar, S Levine
International Conference on Machine Learning, 21658-21676, 2022
422022
Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling
R Mendonca, X Geng, C Finn, S Levine
arXiv preprint arXiv:2006.07178, 2020
402020
Offline q-learning on diverse multi-task data both scales and generalizes
A Kumar, R Agarwal, X Geng, G Tucker, S Levine
arXiv preprint arXiv:2211.15144, 2022
282022
Deep reinforcement learning for tensegrity locomotion. In 2017 IEEE Int. Conf. on Robotics and Automation (ICRA)
M Zhang, X Geng, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ...
IEEE, 2017
242017
Dynamical distance learning for unsupervised and semi-supervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
202019
Sequential modeling enables scalable learning for large vision models
Y Bai, X Geng, K Mangalam, A Bar, A Yuille, T Darrell, J Malik, AA Efros
arXiv preprint arXiv:2312.00785, 2023
182023
Deep reinforcement learning for tensegrity robot locomotion
X Geng, M Zhang, J Bruce, K Caluwaerts, M Vespignani, V SunSpiral, ...
arXiv preprint arXiv:1609.09049, 2016
132016
Variable-shot adaptation for online meta-learning
T Yu, X Geng, C Finn, S Levine
arXiv preprint arXiv:2012.07769, 2020
72020
Action-quantized offline reinforcement learning for robotic skill learning
J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine
Conference on Robot Learning, 1348-1361, 2023
52023
Multi-stage cable routing through hierarchical imitation learning
J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine
IEEE Transactions on Robotics, 2024
42024
Data-driven optimization for protein design: Workflows, algorithms and metrics
S Kolli, AX Lu, X Geng, A Kumar, S Levine
ICLR2022 Machine Learning for Drug Discovery, 2022
42022
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