Hangyu Mao

发表

Represent Your Own Policies : Reinforcement Learning with Policy-extended Value Function Approximator

Yaodong Yang, D. Graves, Wulong Liu, 2022 .

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator

Yaodong Yang, D. Graves, Wulong Liu, 2020, 2010.09536.

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Zhen Xiao, Hangyu Mao, Wulong Liu, 2019, AAAI.

Common belief multi-agent reinforcement learning based on variational recurrent models

Hangyu Mao, Xianjie Zhang, Yu Liu, 2022, Neurocomputing.

Transformer in Transformer as Backbone for Deep Reinforcement Learning

Junge Zhang, Rui Zhao, Hao Chen, 2022, arXiv.org.

Learning multi-agent communication with double attentional deep reinforcement learning

Hangyu Mao, Zhibo Gong, Zhengchao Zhang, 2020, Autonomous Agents and Multi-Agent Systems.

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG pdf

Zhen Xiao, Hangyu Mao, Zhengchao Zhang, 2018, AAMAS.

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

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

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

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

Learning Agent Communication under Limited Bandwidth by Message Pruning

Zhen Xiao, Hangyu Mao, Zhibo Gong, 2019, AAAI.

Structural relational inference actor-critic for multi-agent reinforcement learning

Hangyu Mao, Xiujuan Xu, Anil Carie, 2021, Neurocomputing.

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems

Rui Zhao, Hangyu Mao, Zhiwei Xu, 2023, ArXiv.

SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition

Hangyu Mao, Pingzhong Tang, Chengjie Wu, 2021, DAI.

Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing pdf

Hangyu Mao, Zhen Xiao, Zhibo Gong, 2020, ArXiv.

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

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

Learning multi-agent communication with double attentional deep reinforcement learning

Zhen Xiao, Hangyu Mao, Zhibo Gong, 2020, Autonomous Agents and Multi-Agent Systems.

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning

Dong Li, Hangyu Mao, Jianye Hao, 2022, ArXiv.

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Jun Luo, Wulong Liu, Jianye Hao, 2019, AAAI.

Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning

Zhen Xiao, Hangyu Mao, Mingzhe Xing, 2022, IJCAI.

Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing pdf

Zhen Xiao, Hangyu Mao, Zhengchao Zhang, 2019, ArXiv.

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations

Wulong Liu, Dong Li, Hangyu Mao, 2023, 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents

Xingyu Zeng, Rui Zhao, Yihong Chen, 2023, ArXiv.

Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning

Hangyu Mao, D. Li, Jingqing Ruan, 2023, ECAI.

A closed-loop digital twin modeling method integrated with carbon footprint analysis

Hangyu Mao, Tengyu Li, Jing-Long Xiao, 2023, Comput. Ind. Eng..

Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint

Bin He, Hangyu Mao, 2023, Journal of Computing and Information Science in Engineering.

Identifying Influential Users' Professions via the Microblogs They Forward

Zhen Xiao, Yuan Wang, Hangyu Mao, 2017, SocInf@IJCAI.

Topic-Specific Retweet Count Ranking for Weibo

Yang Xiao, Zhen Xiao, Yuan Wang, 2018, PAKDD.

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks

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

Towards robust and domain agnostic reinforcement learning competitions

William H. Guss, H. Ritter, S. Mohanty, 2021, NeurIPS.

Optimizing communication in deep reinforcement learning with XingTian

Jun Yao, Hangyu Mao, Pengze Li, 2022, Middleware.

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator

Wulong Liu, Chen Chen, Hongyao Tang, 2022, AAAI.

TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage

Xingyu Zeng, Rui Zhao, Yihong Chen, 2023, 2308.03427.

A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning

Hangyu Mao, Zhengchao Zhang, Lichen Pan, 2023, KDD.

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

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