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Shangqi Guo
Shangqi Guo
在 mails.tsinghua.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
T Zhang, S Guo, T Tan, X Hu, F Chen
Advances in Neural Information Processing Systems 33, 2020
692020
Hierarchical Bayesian inference and learning in spiking neural networks
S Guo, Z Yu, F Deng, X Hu, F Chen
IEEE transactions on cybernetics 49 (1), 133-145, 2017
422017
Emergent inference of hidden markov models in spiking neural networks through winner-take-all
Z Yu, S Guo, F Deng, Q Yan, K Huang, JK Liu, F Chen
IEEE Transactions on Cybernetics 50 (3), 1347-1354, 2018
212018
Generative memory for lifelong learning
X Su, S Guo, T Tan, F Chen
IEEE transactions on neural networks and learning systems 31 (6), 1884-1898, 2019
192019
Adjacency constraint for efficient hierarchical reinforcement learning
T Zhang, S Guo, T Tan, X Hu, F Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4152-4166, 2022
112022
CRIL: Continual robot imitation learning via generative and prediction model
C Gao, H Gao, S Guo, T Zhang, F Chen
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
92021
Task understanding from confusing multi-task data
X Su, Y Jiang, S Guo, F Chen
International Conference on Machine Learning, 9177-9186, 2020
82020
Orientation-preserving rewards’ balancing in reinforcement learning
J Ren, S Guo, F Chen
IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6458-6472, 2021
72021
Learning effective subgoals with multi-task hierarchical reinforcement learning
D Chen, Q Yan, S Guo, Z Yang, X Su, F Chen
Scaling-Up Reinforcement Learning (SURL) Workshop. URl: http://surl. tirl …, 2019
62019
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video
P Sun, X Su, S Guo, F Chen
Applied Intelligence 50 (12), 4261-4280, 2020
52020
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos
P Sun, Z Yang, T Zhang, S Guo, F Chen
Applied Intelligence, 1-16, 2022
32022
State-temporal compression in reinforcement learning with the reward-restricted geodesic metric
S Guo, Q Yan, X Su, X Hu, F Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5572-5589, 2021
32021
Subjectivity learning theory towards artificial general intelligence
X Su, S Guo, F Chen
arXiv preprint arXiv:1909.03798, 2019
32019
Transferable Environment Model With Disentangled Dynamics
Q Yan, S Guo, D Chen, Z Yang, F Chen
IEEE Access 7, 106848-106860, 2019
22019
Biologically plausible variational policy gradient with spiking recurrent winner-take-all networks
Z Yang, S Guo, Y Fang, JK Liu
arXiv preprint arXiv:2210.13225, 2022
12022
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning
H Gao, Z Yang, T Tan, T Zhang, J Ren, P Sun, S Guo, F Chen
IEEE Transactions on Neural Networks and Learning Systems, 2022
12022
PAC-Bayesian offline Meta-reinforcement learning
Z Sun, C Jing, S Guo, L An
Applied Intelligence 53 (22), 27128-27147, 2023
2023
Fast counterfactual inference for history-based reinforcement learning
H Gao, T Zhang, Z Yang, Y Guo, J Ren, S Guo, F Chen
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7613-7623, 2023
2023
Learning from conflicting data with hidden contexts
T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen
2022
Subjective Learning for Conflicting Data
T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen
ICLR Workshop on Agent Learning in Open-Endedness, 2022
2022
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