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Journal Articles
- 2024
[j10]Tianze Zhou
, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024)- 2023
- [j9]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j8]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang:
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. J. Mach. Learn. Res. 24: 315:1-315:23 (2023) - 2022
- [j7]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. Frontiers Inf. Technol. Electron. Eng. 23(7): 1032-1042 (2022) - 2012
- [j6]Weixun Wang, Sanjay Ranka, Prabhat Mishra:
Energy-aware dynamic slack allocation for real-time multitasking systems. Sustain. Comput. Informatics Syst. 2(3): 128-137 (2012) - [j5]Xiaoke Qin, Weixun Wang, Prabhat Mishra:
TCEC: Temperature and Energy-Constrained Scheduling in Real-Time Multitasking Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(8): 1159-1168 (2012) - [j4]Weixun Wang, Prabhat Mishra, Ann Gordon-Ross:
Dynamic Cache Reconfiguration for Soft Real-Time Systems. ACM Trans. Embed. Comput. Syst. 11(2): 28:1-28:31 (2012) - [j3]Weixun Wang, Prabhat Mishra:
System-Wide Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Multitasking Systems. IEEE Trans. Very Large Scale Integr. Syst. 20(5): 902-910 (2012) - 2011
- [j2]Weixun Wang, Prabhat Mishra:
Dynamic Reconfiguration of Two-Level Cache Hierarchy in Real-Time Embedded Systems. J. Low Power Electron. 7(1): 17-28 (2011) - [j1]Weixun Wang, Sanjay Ranka, Prabhat Mishra:
Energy-aware dynamic reconfiguration algorithms for real-time multitasking systems. Sustain. Comput. Informatics Syst. 1(1): 35-45 (2011)
Conference and Workshop Papers
- 2024
- [c25]Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI 2024: 15934-15942 - 2023
- [c24]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c23]Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS 2023: 2460-2462 - [c22]Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang:
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR 2023 - 2022
- [c21]Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan:
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML 2022: 23417-23432 - [c20]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - 2021
- [c19]Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang:
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS 2021: 17037-17048 - 2020
- [c18]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI 2020: 7211-7218 - [c17]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI 2020: 7293-7300 - [c16]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS 2020: 2053-2055 - [c15]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR 2020 - [c14]Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI 2020: 2291-2297 - [c13]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [c12]Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI 2020: 3437-3443 - [c11]Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan:
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. NeurIPS 2020 - 2019
- [c10]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS 2019: 1315-1323 - [c9]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [c8]Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor:
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas. DAI 2019: 11:1-11:7 - 2011
- [c7]Weixun Wang, Prabhat Mishra, Sanjay Ranka:
Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems. DAC 2011: 948-953 - [c6]Weixun Wang, Sanjay Ranka, Prabhat Mishra:
A General Algorithm for Energy-Aware Dynamic Reconfiguration in Multitasking Systems. VLSI Design 2011: 334-339 - 2010
- [c5]Weixun Wang, Prabhat Mishra:
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme. DAC 2010: 705-710 - [c4]Weixun Wang, Xiaoke Qin, Prabhat Mishra:
Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach. ISLPED 2010: 85-90 - [c3]Weixun Wang, Prabhat Mishra:
Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Real-Time Systems. VLSI Design 2010: 357-362 - 2009
- [c2]Weixun Wang, Prabhat Mishra:
Dynamic Reconfiguration of Two-Level Caches in Soft Real-Time Embedded Systems. ISVLSI 2009: 145-150 - [c1]Weixun Wang, Prabhat Mishra, Ann Gordon-Ross:
SACR: Scheduling-Aware Cache Reconfiguration for Real-Time Embedded Systems. VLSI Design 2009: 547-552
Reference Works
- 2012
- [r1]Weixun Wang, Xiaoke Qin, Prabhat Mishra:
Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems. Handbook of Energy-Aware and Green Computing 2012: 543-572
Informal and Other Publications
- 2024
- [i21]Shengyi Huang, Michael Noukhovitch, Arian Hosseini, Kashif Rasul, Weixun Wang, Lewis Tunstall:
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. CoRR abs/2403.17031 (2024) - [i20]Jian Hu, Xibin Wu, Weixun Wang, Xianyu, Dehao Zhang, Yu Cao:
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework. CoRR abs/2405.11143 (2024) - 2022
- [i19]Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR abs/2202.04427 (2022) - [i18]Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao:
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - [i17]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents. CoRR abs/2203.08454 (2022) - [i16]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - [i15]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i14]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang:
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR abs/2210.13708 (2022) - 2021
- [i13]Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR abs/2106.00517 (2021) - 2020
- [i12]Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR abs/2002.07418 (2020) - [i11]Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen:
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR abs/2002.08030 (2020) - [i10]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR abs/2002.08037 (2020) - [i9]Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR abs/2005.04355 (2020) - [i8]Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan:
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. CoRR abs/2011.02669 (2020) - 2019
- [i7]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR abs/1907.11461 (2019) - [i6]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR abs/1909.02790 (2019) - [i5]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR abs/1909.11468 (2019) - [i4]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR abs/1911.10715 (2019) - 2018
- [i3]Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor:
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach. CoRR abs/1803.00162 (2018) - [i2]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR abs/1809.03149 (2018) - 2012
- [i1]Kanad Basu, Subrata Mitra, Srishti Mukherjee, Weixun Wang:
A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking. CoRR abs/1211.1736 (2012)
Coauthor Index
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