Wulong Liu
Wulong Liu
Huawei Noah's Ark Lab
Verified email at
Cited by
Cited by
Qatten: A general framework for cooperative multiagent reinforcement learning
Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang
arXiv preprint arXiv:2002.03939, 2020
Smarts: An open-source scalable multi-agent rl training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on robot learning, 264-285, 2021
Neighborhood cognition consistent multi-agent reinforcement learning
H Mao, W Liu, J Hao, J Luo, D Li, Z Zhang, J Wang, Z Xiao
Proceedings of the AAAI conference on artificial intelligence 34 (05), 7219-7226, 2020
A survey on interpretable reinforcement learning
C Glanois, P Weng, M Zimmer, D Li, T Yang, J Hao, W Liu
Machine Learning, 1-44, 2024
Towards effective context for meta-reinforcement learning: an approach based on contrastive learning
H Fu, H Tang, J Hao, C Chen, X Feng, D Li, W Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7457-7465, 2021
Efficient deep reinforcement learning via adaptive policy transfer
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Cheng, C Fan, W Wang, W Liu, ...
arXiv preprint arXiv:2002.08037, 2020
Triple-GAIL: a multi-modal imitation learning framework with generative adversarial nets
C Fei, B Wang, Y Zhuang, Z Zhang, J Hao, H Zhang, X Ji, W Liu
arXiv preprint arXiv:2005.10622, 2020
A multi-task reinforcement learning approach for navigating unsignalized intersections
S Kai, B Wang, D Chen, J Hao, H Zhang, W Liu
2020 IEEE Intelligent Vehicles Symposium (IV), 1583-1588, 2020
Neuro-symbolic hierarchical rule induction
C Glanois, Z Jiang, X Feng, P Weng, M Zimmer, D Li, W Liu, J Hao
International Conference on Machine Learning, 7583-7615, 2022
LHNN: Lattice hypergraph neural network for VLSI congestion prediction
B Wang, G Shen, D Li, J Hao, W Liu, Y Huang, H Wu, Y Lin, G Chen, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 1297-1302, 2022
An efficient transfer learning framework for multiagent reinforcement learning
T Yang, W Wang, H Tang, J Hao, Z Meng, H Mao, D Li, W Liu, Y Chen, ...
Advances in neural information processing systems 34, 17037-17048, 2021
Generalizable cross-graph embedding for gnn-based congestion prediction
A Ghose, V Zhang, Y Zhang, D Li, W Liu, M Coates
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
Differentiable logic machines
M Zimmer, X Feng, C Glanois, Z Jiang, J Zhang, P Weng, D Li, J Hao, ...
arXiv preprint arXiv:2102.11529, 2021
Multi-Agent Interactions Modeling with Correlated Policies
M Liu, M Zhou, W Zhang, Y Zhuang, J Wang, W Liu, Y Yu
International Conference on Learning Representations (ICLR 2020), 2020
What about inputting policy in value function: Policy representation and policy-extended value function approximator
H Tang, Z Meng, J Hao, C Chen, D Graves, D Li, C Yu, H Mao, W Liu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8441-8449, 2022
Cooperative multi-agent transfer learning with level-adaptive credit assignment
T Zhou, F Zhang, K Shao, K Li, W Huang, J Luo, W Wang, Y Yang, H Mao, ...
arXiv preprint arXiv:2106.00517, 2021
TSV-aware topology generation for 3D clock tree synthesis
W Liu, H Du, Y Wang, Y Ma, Y Xie, J Quan, H Yang
International Symposium on Quality Electronic Design (ISQED), 300-307, 2013
Adaptive online packing-guided search for POMDPs
C Wu, G Yang, Z Zhang, Y Yu, D Li, W Liu, J Hao
Advances in Neural Information Processing Systems 34, 28419-28430, 2021
Whitespace-aware TSV arrangement in 3-D clock tree synthesis
W Liu, Y Wang, G Chen, Y Ma, Y Xie, H Yang
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (9 …, 2014
Learning symbolic rules for interpretable deep reinforcement learning
Z Ma, Y Zhuang, P Weng, HH Zhuo, D Li, W Liu, J Hao
arXiv preprint arXiv:2103.08228, 2021
The system can't perform the operation now. Try again later.
Articles 1–20