Xinyang Geng
Xinyang Geng
在 berkeley.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
3242017
Automatic Goal Generation for Reinforcement Learning Agents
C Florensa, D Held, X Geng, P Abbeel
International Conference on Machine Learning, 1514-1523, 2018
213*2018
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
822017
Rewriting history with inverse rl: Hindsight inference for policy improvement
B Eysenbach, X Geng, S Levine, R Salakhutdinov
arXiv preprint arXiv:2002.11089, 2020
152020
Dynamical distance learning for semi-supervised and unsupervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
122019
Dynamical distance learning for unsupervised and semi-supervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
122019
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
92020
Variable-Shot Adaptation for Online Meta-Learning
T Yu, X Geng, C Finn, S Levine
arXiv preprint arXiv:2012.07769, 2020
12020
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
2021
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
B Trabucco, A Kumar, X Geng, S Levine
2020
Consistent Meta-Reinforcement Learning via Model Identification and Experience Relabeling
R Mendonca, X Geng, C Finn, S Levine
2019
Conservative Objective Models
B Trabucco, A Kumar, X Geng, S Levine
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