Seuraa
Xinyang Geng
Xinyang Geng
Vahvistettu sähköpostiosoite verkkotunnuksessa berkeley.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
5242017
Automatic Goal Generation for Reinforcement Learning Agents
C Florensa, D Held, X Geng, P Abbeel
International Conference on Machine Learning, 1514-1523, 2018
367*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
952017
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
602020
Dynamical distance learning for semi-supervised and unsupervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
392019
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
232020
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
212021
Dynamical distance learning for unsupervised and semi-supervised skill discovery
K Hartikainen, X Geng, T Haarnoja, S Levine
arXiv preprint arXiv:1907.08225, 2019
172019
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
Multimodal Masked Autoencoders Learn Transferable Representations
X Geng, H Liu, L Lee, D Schuurams, S Levine, P Abbeel
arXiv preprint arXiv:2205.14204, 2022
102022
Design-bench: Benchmarks for data-driven offline model-based optimization
B Trabucco, X Geng, A Kumar, S Levine
arXiv preprint arXiv:2202.08450, 2022
42022
Variable-Shot Adaptation for Online Meta-Learning
T Yu, X Geng, C Finn, S Levine
arXiv preprint arXiv:2012.07769, 2020
32020
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
2022
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners
H Liu, X Geng, L Lee, I Mordatch, S Levine, S Narang, P Abbeel
arXiv preprint arXiv:2210.13432, 2022
2022
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
2022
Consistent Meta-Reinforcement Learning via Model Identification and Experience Relabeling
R Mendonca, X Geng, C Finn, S Levine
2019
Effective Offline RL Needs Going Beyond Pessimism: Representations and Distributional Shift
X Geng, K Li, A Gupta, A Kumar, S Levine
Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 0
Real-Time User-Guided Image Colorization with Learned Deep Priors Download PDF
R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros
Conservative Objective Models
B Trabucco, A Kumar, X Geng, S Levine
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