Rundong Wang
Rundong Wang
Ph.D. student of Computer Science, Nanyang Technological University
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Cited by
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Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
R Wang, X He, R Yu, W Qiu, B An, Z Rabinovich
(ICML 2020) 37th International Conference on Machine Learning, 2020
Learning to collaborate in multi-module recommendation via multi-agent reinforcement learning without communication
X He, B An, Y Li, H Chen, R Wang, X Wang, R Yu, X Li, Z Wang
Proceedings of the 14th ACM Conference on Recommender Systems, 210-219, 2020
RMIX: Learning risk-sensitive policies for cooperative reinforcement learning agents
W Qiu, X Wang, R Yu, R Wang, X He, B An, S Obraztsova, Z Rabinovich
Advances in Neural Information Processing Systems 34, 23049-23062, 2021
Commission fee is not enough: A hierarchical reinforced framework for portfolio management
R Wang, H Wei, B An, Z Feng, J Yao
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 626-633, 2021
Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning
H Xu, R Wang, L Raizman, Z Rabinovich
20th International Conference on Autonomous Agents and Multiagent Systems, 2021
I^2 HRL: Interactive Influence-based Hierarchical Reinforcement Learning
R Wang, R Yu, B An, Z Rabinovich
(IJCAI-PRICAI 2020) The 29th International Joint Conference on Artificial …, 2020
Reinforcement learning for quantitative trading
S Sun, R Wang, B An
arXiv preprint arXiv:2109.13851, 2021
Learning expensive coordination: An event-based deep RL approach
Z Shi, R Yu, X Wang, R Wang, Y Zhang, H Lai, B An
International Conference on Learning Representations, 2020
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities
B An, S Sun, R Wang
IEEE Intelligent Systems 37 (2), 23-26, 2022
Attention over self-attention: Intention-aware re-ranking with dynamic transformer encoders for recommendation
Z Lin, S Zang, R Wang, Z Sun, J Senthilnath, C Xu, CK Kwoh
IEEE Transactions on Knowledge and Data Engineering, 2022
Deepscalper: A risk-aware deep reinforcement learning framework for intraday trading with micro-level market embedding
S Sun, R Wang, X He, J Zhu, J Li, B An
arXiv preprint arXiv:2201.09058, 2021
Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
R Wang, H Wei, B An, Z Feng, J Yao
arXiv preprint arXiv:2012.12620, 2020
Metainfonet: Learning task-guided information for sample reweighting
H Wei, L Feng, R Wang, B An
arXiv preprint arXiv:2012.05273, 2020
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
R Yu, Z Shi, X Wang, R Wang, B Liu, X Hou, H Lai, B An
arXiv preprint arXiv:1911.07712, 2019
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach
S Sun, R Wang, B An
arXiv preprint arXiv:2207.07578, 2022
Defensive compressive time delay estimation using information bottleneck
Y Li, R Wang, Y Hu, J Yang, X Cai
IEEE Signal Processing Letters 28, 1968-1972, 2021
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
S Sun, W Xue, R Wang, X He, J Zhu, J Li, B An
Proceedings of the 31st ACM International Conference on Information …, 2022
Off-Beat Multi-Agent Reinforcement Learning
W Qiu, W Wang, R Wang, B An, Y Hu, S Obraztsova, Z Rabinovich, J Hao, ...
arXiv preprint arXiv:2205.13718, 2022
Towards Effective and Interpretable Human-AI Collaboration in MOBA Games
Y Gao, F Liu, L Wang, Z Lian, W Wang, S Li, X Wang, X Zeng, R Wang, ...
Towards Skill and Population Curriculum for MARL
R Wang, L Zheng, W Qiu, B He, B An, Z Rabinovich, Y Hu, Y Chen, T Lv, ...
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