Yi Ma
Yi Ma
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Cited by
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Spectral-based graph convolutional network for directed graphs
Y Ma, J Hao, Y Yang, H Li, J Jin, G Chen
arXiv preprint arXiv:1907.08990, 2019
A hierarchical reinforcement learning based optimization framework for large-scale dynamic pickup and delivery problems
Y Ma, X Hao, J Hao, J Lu, X Liu, T Xialiang, M Yuan, Z Li, J Tang, Z Meng
Advances in neural information processing systems 34, 23609-23620, 2021
A multi-graph attributed reinforcement learning based optimization algorithm for large-scale hybrid flow shop scheduling problem
F Ni, J Hao, J Lu, X Tong, M Yuan, J Duan, Y Ma, K He
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Kogun: accelerating deep reinforcement learning via integrating human suboptimal knowledge
P Zhang, J Hao, W Wang, H Tang, Y Ma, Y Duan, Y Zheng
Proceedings of 29th International Conference on International Joint …, 2020
Combining sequence and network information to enhance protein–protein interaction prediction
L Liu, X Zhu, Y Ma, H Piao, Y Yang, X Hao, Y Fu, L Wang, J Peng
BMC bioinformatics 21, 1-13, 2020
Dynamic knapsack optimization towards efficient multi-channel sequential advertising
X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ...
International Conference on Machine Learning, 4060-4070, 2020
Integrating sequence and network information to enhance protein-protein interaction prediction using graph convolutional networks
L Liu, Y Ma, X Zhu, Y Yang, X Hao, L Wang, J Peng
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
Machine Learning Enabled Quickly Predicting of Detonation Properties of N‐Containing Molecules for Discovering New Energetic Materials
F Hou, Y Ma, Z Hu, S Ding, H Fu, L Wang, X Zhang, G Li
Advanced Theory and Simulations 4 (6), 2100057, 2021
Large scale deep reinforcement learning in war-games
H Wang, H Tang, J Hao, X Hao, Y Fu, Y Ma
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
K Zhao, J Hao, Y Ma, J Liu, Y Zheng, Z Meng
Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024
SplitNet: a reinforcement learning based sequence splitting method for the MinMax multiple travelling salesman problem
H Liang, Y Ma, Z Cao, T Liu, F Ni, Z Li, J Hao
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8720-8727, 2023
Pandr: Fast adaptation to new environments from offline experiences via decoupling policy and environment representations
T Sang, H Tang, Y Ma, J Hao, Y Zheng, Z Meng, B Li, Z Wang
arXiv preprint arXiv:2204.02877, 2022
Rethinking decision transformer via hierarchical reinforcement learning
Y Ma, HAO Jianye, H Liang, C Xiao
Forty-first International Conference on Machine Learning, 2023
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
Y Yuan, J Hao, Y Ma, Z Dong, H Liang, J Liu, Z Feng, K Zhao, Y Zheng
The Twelfth International Conference on Learning Representations, 2024
Iteratively refined behavior regularization for offline reinforcement learning
X Hu, Y Ma, C Xiao, Y Zheng, HAO Jianye
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
J Liu, Y Ma, J Hao, Y Hu, Y Zheng, T Lv, C Fan
Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024
Reining generalization in offline reinforcement learning via representation distinction
Y Ma, H Tang, D Li, Z Meng
Advances in Neural Information Processing Systems 36, 2024
A hierarchical imitation learning-based decision framework for autonomous driving
H Liang, Z Dong, Y Ma, X Hao, Y Zheng, J Hao
Proceedings of the 32nd ACM International Conference on Information and …, 2023
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning
C Chen, H Tang, Y Ma, C Wang, Q Shen, D Li, J Hao
arXiv preprint arXiv:2211.15065, 2022
A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning
S Lian, Y Ma, J Liu, HAO Jianye, Y Zheng, Z Meng
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 0
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