受强制性开放获取政策约束的文章 - Wulong Liu了解详情
无法在其他位置公开访问的文章：1 篇
Relational navigation learning in continuous action space among crowds
X Zhang, W Xi, X Guo, Y Fang, B Wang, W Liu, J Hao
2021 IEEE International Conference on Robotics and Automation (ICRA), 3175-3181, 2021
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：19 篇
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
Addressing action oscillations through learning policy inertia
C Chen, H Tang, J Hao, W Liu, Z Meng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7020-7027, 2021
强制性开放获取政策： 国家自然科学基金委员会
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
强制性开放获取政策： 国家自然科学基金委员会
Efficient Deep Reinforcement Learning through Policy Transfer.
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Chen, C Fan, W Wang, Z Wang, ...
AAMAS, 2053-2055, 2020
强制性开放获取政策： 国家自然科学基金委员会
Graph Attention Memory for Visual Navigation
D Li, Q Zhang, D Zhao, Y Zhuang, B Wang, W Liu, R Tutunov, J Wang
arXiv:1905.13315, 2019
强制性开放获取政策： 国家自然科学基金委员会
Conformalized fairness via quantile regression
M Liu, L Ding, D Yu, W Liu, L Kong, B Jiang
Advances in Neural Information Processing Systems 35, 11561-11572, 2022
强制性开放获取政策： Social Sciences and Humanities Research Council, Canada, UK Economic and …
Exploration of electrical and novel optical chip-to-chip interconnects
W Liu, G Chen, Y Wang, X Feng, Y Xie, Y Huang, H Yang
IEEE Design & Test 31 (5), 28-35, 2014
强制性开放获取政策： 国家自然科学基金委员会
Model-based reinforcement learning via imagination with derived memory
Y Mu, Y Zhuang, B Wang, G Zhu, W Liu, J Chen, P Luo, S Li, C Zhang, ...
Advances in Neural Information Processing Systems 34, 9493-9505, 2021
强制性开放获取政策： Research Grants Council, Hong Kong
On-chip hybrid power supply system for wireless sensor nodes
W Liu, Y Wang, Y Ma, Y Xie, H Yang
ACM Journal on Emerging Technologies in Computing Systems (JETC) 10 (3), 1-22, 2014
强制性开放获取政策： 国家自然科学基金委员会
Modeling and optimization of low power resonant clock mesh
W Liu, G Chen, Y Wang, H Yang
The 20th Asia and South Pacific Design Automation Conference, 478-483, 2015
强制性开放获取政策： 国家自然科学基金委员会
Enhancing context-based meta-reinforcement learning algorithms via an efficient task encoder (student abstract)
F Xu, S Jiang, H Yin, Z Zhang, Y Yu, M Li, D Li, W Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15937 …, 2021
强制性开放获取政策： 国家自然科学基金委员会
LB-DESPOT: Efficient online POMDP planning considering lower bound in action selection (student abstract)
C Wu, R Kong, G Yang, X Kong, Z Zhang, Y Yu, D Li, W Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15927 …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Foresee then evaluate: Decomposing value estimation with latent future prediction
H Tang, Z Meng, G Chen, P Chen, C Chen, Y Yang, L Zhang, W Liu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9834-9842, 2021
强制性开放获取政策： 国家自然科学基金委员会
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