Weixun Wang

发表

Temperature- and Energy-Constrained Scheduling

S. Ranka, P. Mishra, Weixun Wang, 2013 .

Dynamic Reconfiguration in Real-Time Systems

Sanjay Ranka, Weixun Wang, Prabhat Mishra, 2013 .

A Partitioned Bitmask-based Technique for Lossless Seismic Data Compression

P. Mishra, Weixun Wang, 2008 .

Off-Beat Multi-Agent Reinforcement Learning

Jianye Hao, Bo An, R. Wang, 2022, 2205.13718.

Off-Beat Multi-Agent Reinforcement Learning

Jianye Hao, Bo An, R. Wang, 2022, AAMAS.

Background-free upconversion-encoded microspheres for mycotoxin detection based on a rapid visualization method

Yaodong Yang, Jianye Hao, Jin Chang, 2020, Analytical and Bioanalytical Chemistry.

Individual Reward Assisted Multi-Agent Reinforcement Learning

Jianye Hao, Chongjie Zhang, Li Wang, 2022, ICML.

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, ArXiv.

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing

Yaodong Yang, P. Heng, Jianye Hao, 2022, NeurIPS.

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks

Yaodong Yang, Dong Li, Hangyu Mao, 2022, ArXiv.

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization

Jian Zhao, Wen-gang Zhou, Houqiang Li, 2022, ArXiv.

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

Wulong Liu, Yingfeng Chen, Hongyao Tang, 2020, NeurIPS.

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework pdf

Yujing Hu, Jianye Hao, Zhaopeng Meng, 2020, ArXiv.

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

Jianye Hao, Yingfeng Chen, Yang Gao, 2019, AAAI.

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems pdf

Yujing Hu, Yong Liu, Jianye Hao, 2019, ICLR.

Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas

Weixun Wang, Matthew Taylor, Yixi Wang, 2019, DAI.

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems pdf

Jianye Hao, Weixun Wang, Yaodong Yang, 2019, AAMAS.

Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach pdf

Jianye Hao, Matthew Taylor, Weixun Wang, 2018, ArXiv.

Multi-Agent Game Abstraction via Graph Attention Neural Network

Yujing Hu, Yong Liu, Jianye Hao, 2019, AAAI.

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping pdf

Yujing Hu, Jianye Hao, Changjie Fan, 2020, NeurIPS.

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment pdf

Jianye Hao, Weixun Wang, Hangyu Mao, 2021, ArXiv.

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents

Jianye Hao, Jian Zhao, Wen-gang Zhou, 2022, Frontiers of Information Technology & Electronic Engineering.

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge pdf

Peng Zhang, Yi Ma, Jianye Hao, 2020, IJCAI.

MARLlib: A Scalable Multi-agent Reinforcement Learning Library

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, 2210.13708.

System-Wide Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Multitasking Systems

Weixun Wang, Prabhat Mishra, P. Mishra, 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Temperature- and energy-constrained scheduling in multitasking systems: A model checking approach

Weixun Wang, Prabhat Mishra, Xiaoke Qin, 2010, 2010 ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED).

PreDVS: Preemptive dynamic voltage scaling for real-time systems using approximation scheme

Weixun Wang, Prabhat Mishra, P. Mishra, 2010, Design Automation Conference.

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

Jianye Hao, Yingfeng Chen, Changjie Fan, 2019, ICLR.

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

Yujing Hu, Jianye Hao, Zhaopeng Meng, 2020, IJCAI.

Efficient Deep Reinforcement Learning through Policy Transfer pdf

Yujing Hu, Jianye Hao, Zhaopeng Meng, 2020, AAMAS.

Learning Adaptive Display Exposure for Real-Time Advertising

Jun Wang, Jian Xu, Weinan Zhang, 2018, CIKM.

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks

Yaodong Yang, Dong Li, Hangyu Mao, 2023, ICLR.

ASN: action semantics network for multiagent reinforcement learning

Yingfeng Chen, Chunxu Ren, Tianpei Yang, 2023, Autonomous Agents and Multi-Agent Systems.

Dynamic Cache Reconfiguration for Soft Real-Time Systems

Ann Gordon-Ross, Weixun Wang, Prabhat Mishra, 2012, TECS.

Dynamic Cache Reconfiguration in Real-Time Systems

Sanjay Ranka, Weixun Wang, Prabhat Mishra, 2013 .

Energy-aware scheduling and dynamic reconfiguration in real-time embedded systems

Weixun Wang, Weixun Wang, 2011 .

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning pdf

Jian Xu, Weinan Zhang, Jianye Hao, 2018, ArXiv.

Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning

Wulong Liu, Jianye Hao, Zongzhang Zhang, 2020, IJCAI.

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

Yaodong Yang, Xiaojun Chang, Xiaodan Liang, 2022, 2210.13708.

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework

Yaodong Yang, Dong Li, Hangyu Mao, 2022, 2203.05285.