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Xiaoteng Ma（马骁腾）
Xiaoteng Ma（马骁腾）
Dept. Automation, Tsinghua University, Beijing, China
Preverjeni e-poštni naslov na mails.tsinghua.edu.cn - Domača stran
Naslov
Navedeno
Navedeno
Leto
Mildly conservative q-learning for offline reinforcement learning
J Lyu, X Ma, X Li, Z Lu
Advances in Neural Information Processing Systems 35, 1711-1724, 2022
1372022
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning
X Ma, L Xia, Z Zhou, J Yang, Q Zhao
Reinforcement Learning for Real Life Workshop at ICML 2019, 0
124*
Believe what you see: Implicit constraint approach for offline multi-agent reinforcement learning
Y Yang, X Ma, C Li, Z Zheng, Q Zhang, G Huang, J Yang, Q Zhao
Advances in Neural Information Processing Systems 34, 10299-10312, 2021
982021
Rorl: Robust offline reinforcement learning via conservative smoothing
R Yang, C Bai, X Ma, Z Wang, C Zhang, L Han
Advances in neural information processing systems 35, 23851-23866, 2022
942022
Efficient continuous control with double actors and regularized critics
J Lyu, X Ma, J Yan, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7655-7663, 2022
642022
Air-combat strategy using deep Q-learning
X Ma, L Xia, Q Zhao
2018 Chinese automation congress (CAC), 3952-3957, 2018
562018
Offline reinforcement learning with value-based episodic memory
X Ma, Y Yang, H Hu, Q Liu, J Yang, C Zhang, Q Zhao, B Liang
arXiv preprint arXiv:2110.09796, 2021
502021
Exploit reward shifting in value-based deep-rl: Optimistic curiosity-based exploration and conservative exploitation via linear reward shaping
H Sun, L Han, R Yang, X Ma, J Guo, B Zhou
Advances in neural information processing systems 35, 37719-37734, 2022
46*2022
Distributionally robust offline reinforcement learning with linear function approximation
X Ma, Z Liang, J Blanchet, M Liu, L Xia, J Zhang, Q Zhao, Z Zhou
arXiv preprint arXiv:2209.06620, 2022
352022
What is essential for unseen goal generalization of offline goal-conditioned rl?
R Yang, L Yong, X Ma, H Hu, C Zhang, T Zhang
International Conference on Machine Learning, 39543-39571, 2023
272023
Fairness control of traffic light via deep reinforcement learning
C Li, X Ma, L Xia, Q Zhao, J Yang
2020 IEEE 16th International Conference on Automation Science and …, 2020
262020
Modeling the interaction between agents in cooperative multi-agent reinforcement learning
X Ma, Y Yang, C Li, Y Lu, Q Zhao, Y Jun
arXiv preprint arXiv:2102.06042, 2021
232021
Average-reward reinforcement learning with trust region methods
X Ma, X Tang, L Xia, J Yang, Q Zhao
arXiv preprint arXiv:2106.03442, 2021
212021
Wasserstein distance guided adversarial imitation learning with reward shape exploration
M Zhang, Y Wang, X Ma, L Xia, J Yang, Z Li, X Li
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020
202020
Cross-domain policy adaptation via value-guided data filtering
K Xu, C Bai, X Ma, D Wang, B Zhao, Z Wang, X Li, W Li
Advances in Neural Information Processing Systems 36, 73395-73421, 2023
152023
MPSN: Motion-aware Pseudo-Siamese Network for indoor video head detection in buildings
K Sun, X Ma, P Liu, Q Zhao
Building and Environment 222, 109354, 2022
142022
Single-trajectory distributionally robust reinforcement learning
Z Liang, X Ma, J Blanchet, J Zhang, Z Zhou
arXiv preprint arXiv:2301.11721, 2023
132023
Uncertainty-driven trajectory truncation for model-based offline reinforcement learning
J Zhang, J Lyu, X Ma, J Yan, J Yang, L Wan, X Li
arXiv preprint arXiv:2304.04660, 2023
132023
CVaR-constrained policy optimization for safe reinforcement learning
Q Zhang, S Leng, X Ma, Q Liu, X Wang, B Liang, Y Liu, J Yang
IEEE Transactions on Neural Networks and Learning Systems, 2024
112024
Uncertainty-driven trajectory truncation for data augmentation in offline reinforcement learning
J Zhang, J Lyu, X Ma, J Yan, J Yang, L Wan, X Li
ECAI 2023, 3018-3025, 2023
112023
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