Weixun Wang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 41

Top Topics

Implementation Details

Stochastic Games

Online Advertising

Multiagent Systems

Top Venues

Publications

Jian Hu, Xibin Wu, Weixun Wang, Xianyu, Dehao Zhang, Yu Cao
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework. CoRR (2024)
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 (2024)
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)
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) (2024)
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)
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) (2023)
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)
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)
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 (2022)
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
A2C is a special case of PPO. CoRR (2022)
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 (2022)
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) (2022)
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 (2022)
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)
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 (2022)
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)
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 (2022)
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 (2021)
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)
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 (2020)
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)
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 (2020)
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI (2020)
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)
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)
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 (2020)
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)
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 (2020)
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)
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 (2020)
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)
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)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR (2019)
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS (2019)
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 (2019)
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)
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR (2019)
Weixun Wang, Jianye Hao, Yixi Wang, Matthew Taylor
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas. DAI (2019)
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 (2019)
Weixun Wang, Jianye Hao, Yixi Wang, Matthew Taylor
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach. CoRR (2018)
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 (2018)
Kanad Basu, Subrata Mitra, Srishti Mukherjee, Weixun Wang
A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking CoRR (2012)
Weixun Wang, Sanjay Ranka, Prabhat Mishra
Energy-aware dynamic slack allocation for real-time multitasking systems. Sustain. Comput. Informatics Syst. 2 (3) (2012)
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) (2012)
Weixun Wang, Prabhat Mishra, Ann Gordon-Ross
Dynamic Cache Reconfiguration for Soft Real-Time Systems. ACM Trans. Embed. Comput. Syst. 11 (2) (2012)
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) (2012)
Weixun Wang, Sanjay Ranka, Prabhat Mishra
Energy-aware dynamic reconfiguration algorithms for real-time multitasking systems. Sustain. Comput. Informatics Syst. 1 (1) (2011)
Weixun Wang, Sanjay Ranka, Prabhat Mishra
A General Algorithm for Energy-Aware Dynamic Reconfiguration in Multitasking Systems. VLSI Design (2011)
Weixun Wang, Prabhat Mishra, Sanjay Ranka
Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems. DAC (2011)
Weixun Wang, Prabhat Mishra
Dynamic Reconfiguration of Two-Level Cache Hierarchy in Real-Time Embedded Systems. J. Low Power Electron. 7 (1) (2011)
Weixun Wang, Prabhat Mishra
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme. DAC (2010)
Weixun Wang, Prabhat Mishra
Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Real-Time Systems. VLSI Design (2010)
Weixun Wang, Xiaoke Qin, Prabhat Mishra
Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach. ISLPED (2010)
Weixun Wang, Prabhat Mishra
Dynamic Reconfiguration of Two-Level Caches in Soft Real-Time Embedded Systems. ISVLSI (2009)
Weixun Wang, Prabhat Mishra, Ann Gordon-Ross
SACR: Scheduling-Aware Cache Reconfiguration for Real-Time Embedded Systems. VLSI Design (2009)