Xiaotian Hao

43 papers A* 13A 7Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2024 A* conf
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.
AAAI
Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng
2024 A conf
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search.
UAI
Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu
2024 A* conf
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces.
AAAI
Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
2024 A* conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAAI
Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2024 A* conf
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning.
NeurIPS
Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv
2023 A conf
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving.
CIKM
Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
2023 J jnl
ASN: action semantics network for multiagent reinforcement learning.
Auton. Agents Multi Agent Syst.
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
2023 A* conf
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
ICLR
Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
2023 A conf
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.
ECAI
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023 J jnl
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning.
CoRR
Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023 A conf
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
AAMAS
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
2022 J jnl
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.
CoRR
Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
2022 J jnl
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst.
Ji Cheng, Da Yan, Wenwen Qu, Xiaotian Hao, Cheng Long, Wilfred Ng, Xiaoling Wang
2022 A* conf
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
ICML
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
2022 J jnl
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang
2022 A* conf
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
NeurIPS
Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
2021 A* conf
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
NeurIPS
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
2021 — conf
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition.
DAI
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021 J jnl
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition.
CoRR
Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang
2021 J jnl
Towards robust and domain agnostic reinforcement learning competitions.
CoRR
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
2020 A* conf
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
ICLR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020 J jnl
Combining sequence and network information to enhance protein-protein interaction prediction.
BMC Bioinform.
Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng
2020 A* conf
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
ICML
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020 J jnl
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
CoRR
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
2020 J jnl
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol.
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
2020 A* conf
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
AAAI
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020 — conf
Large Scale Deep Reinforcement Learning in War-games.
BIBM
Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma
2020 A* conf
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
IJCAI
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020 J jnl
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
CoRR
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
2020 — conf
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.
NeurIPS (Competition and Demos)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
2019 J jnl
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
CoRR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019 — conf
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models.
IEEE BigData
Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng
2019 J jnl
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning.
CoRR
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019 A conf
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
AAMAS
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019 J jnl
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
CoRR
Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang
2019 — conf
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks.
BIBM
Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng
2019 A conf
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
AAMAS
Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
2019 A conf
Learning Adaptive Display Exposure for Real-Time Advertising.
CIKM
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
2019 A* conf
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach.
ICDE
Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng
2018 J jnl
Effective norm emergence in cell systems under limited communication.
BMC Bioinform.
Xiaotian Hao, Jianye Hao, Wang Li, Hanxu Hou
2017 — conf
Effective norm emergence in cell systems under limited communication.
BIBM
Xiaotian Hao, Jianye Hao, Wang Li
2017 — conf
Towards a Query-Less News Search Framework on Twitter.
DASFAA (2)
Xiaotian Hao, Ji Cheng, Jan Vosecky, Wilfred Ng
2014 — conf
ADI: Towards a Framework of App Developer Inspection.
DASFAA (2)
Kai Xing, Di Jiang, Wilfred Ng, Xiaotian Hao