CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
The 38th Conference on Neural Information Processing Systems (NeurIPS Datasets and Benchmarks Track): 2024Zibin Dong, Yifu Yuan, Jianye HAO, Fei Ni, Yi Ma, Pengyi Li, YAN ZHENG
iVideoGPT: Interactive VideoGPTs are Scalable World Models
The 38th Conference on Neural Information Processing Systems (NeurIPS): 2024Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye HAO, Mingsheng Long
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
The 38th Conference on Neural Information Processing Systems (NeurIPS): 2024Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye HAO, Mingxuan Yuan, Junchi Yan
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
The 38th Conference on Neural Information Processing Systems (NeurIPS): 2024Jiashun Liu, Jianye HAO, Xiaotian Hao, Yi Ma, YAN ZHENG, Yujing Hu, Tangjie Lv
DiffuserLite: Towards Real-time Diffusion Planning
The 38th Conference on Neural Information Processing Systems (NeurIPS): 2024Zibin Dong, Jianye HAO, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, YAN ZHENG
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
The 38th Conference on Neural Information Processing Systems (NeurIPS): 2024Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye HAO, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL): 2024EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems, Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye HAO, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies
The 33rd International World Wide Web Conferences (WWW): 2024Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin Tong, Jiangze Han, Yan Zheng, Jianye Hao
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
The 33rd International Joint Conference on Artificial Intelligence (IJCAI): 2024Yiwen Zhu, Jinyi Liu, wenya wei, qianyi fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
The 12th International Conference on Learning Representations (ICLR): 2024Yifu Yuan, Jianye HAO, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, YAN ZHENG
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
The 12th International Conference on Learning Representations (ICLR): 2024Zibin Dong*, Yifu Yuan*, Jianye HAO, Fei Ni, Yao Mu, YAN ZHENG, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2024 (Extended Abstract)Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv and Changjie Fan
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2024 (Extended Abstract)Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao and Matthew E. Taylor
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2024 (Extended Abstract)Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng and Zhaopeng Meng
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2024Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv and Changjie Fan
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
The 38th Association for the Advancement of Artificial Intelligence (AAAI): 2024Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew Taylor
OVD-Explorer: Optimism should not be the Sole Pursuit of Exploration in Noisy Environments
The 38th Association for the Advancement of Artificial Intelligence (AAAI): 2024Jinyi Liu*, Zhi Wang*, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, yang sun
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Signal Delay Learning and Attentional Cell Modeling
The 38th Association for the Advancement of Artificial Intelligence (AAAI): 2024Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM): 2023Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao
Generalized Universal Domain Adaptation with Generative Flow Networks
Proceedings of the 31st ACM International Conference on Multimedia (MM): 2023Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, JunXiao, ChaoWu
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
The 37th Association for the Advancement of Artificial Intelligence (AAAI): 2023Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem.
The 37th Association for the Advancement of Artificial Intelligence (AAAI): 2023Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network.
The 37th Association for the Advancement of Artificial Intelligence (AAAI): 2023Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS): 2023Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS): 2023Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
The 11th International Conference on Learning Representations (ICLR): 2023Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu- Tao Xia
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
The 11th International Conference on Learning Representations (ICLR): 2023Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang
Out-of-distribution Detection with Implicit Outlier Transformation.
The 11th International Conference on Learning Representations (ICLR): 2023Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
The 11th International Conference on Learning Representations (ICLR): 2023Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
Transfer Reinforcement Learning Based Negotiating Agent Framework.
The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): 2023Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR): 2023Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System.
The 32nd International World Wide Web Conferences (WWW): 2023Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
The 36th Association for the Advancement of Artificial Intelligence (AAAI): 2022Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
The 21nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS): 2022Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.
The 27th International Conference on Database Systems for Advanced Applications (DASFAA): 2022Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.
The 41st International Conference on Computer-Aided Design (ICCAD): 2022Xinyi Zhou, Junjie Ye, Chak- Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng- Ann Heng
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.
The Tenth International Conference on Learning Representations (ICLR): 2022Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
The 39th International Conference on Machine Learning (ICML): 2022Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.
The 39th International Conference on Machine Learning (ICML): 2022Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration.
The 42nd International Conference on Robotics and Automation (ICRA): 2022Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.
The 31st International Joint Conference on Artificial Intelligence (IJCAI): 2022Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding.
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2022Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
The 36th Conference on Neural Information Processing Systems (NeurIPS): 2022Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng- Ann Heng
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.
The 36th Conference on Neural Information Processing Systems (NeurIPS): 2022Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu
The 36th Conference on Neural Information Processing Systems (NeurIPS): 2022Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.
The 36th Conference on Neural Information Processing Systems (NeurIPS): 2022Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning.
The 5th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD): 2022Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui- Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
The 35th Association for the Advancement of Artificial Intelligence (AAAI): 2021Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
The 35th Association for the Advancement of Artificial Intelligence (AAAI): 2021Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
The 30th ACM International Conference on Information and Knowledge Management (CIKM): 2021Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models.
The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): 2021Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction.
The 38th International Conference on Machine Learning (ICML): 2021Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Relational Navigation Learning in Continuous Action Space among Crowds.
The 2021 IEEE International Conference on Robotics and Automation (ICRA): 2021Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao
Ordering-Based Causal Discovery with Reinforcement Learning.
The 30th International Joint Conference on Artificial Intelligence (IJCAI): 2021Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem.
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2021Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
Dynamic Bottleneck for Robust Self-Supervised Exploration.
The 34th Conference on Neural Information Processing Systems (NeurIPS): 2021Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
The 34th Conference on Neural Information Processing Systems (NeurIPS): 2021Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI): 2021Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR): 2021Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
The 34th Association for the Advancement of Artificial Intelligence (AAAI): 2020Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
The 34th Association for the Advancement of Artificial Intelligence (AAAI): 2020Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.
The 25nd International Conference on Engineering of Complex Computer Systems (ICECCS): 2020Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
The 29th International Joint Conference on Artificial Intelligence (IJCAI): 2020Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.
The 29th International Joint Conference on Artificial Intelligence (IJCAI): 2020Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
The 29th International Joint Conference on Artificial Intelligence (IJCAI): 2020Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
The 29th International Joint Conference on Artificial Intelligence (IJCAI): 2020Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
The 34th Conference on Neural Information Processing Systems (NeurIPS): 2020Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
The 18th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2019Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
The 18th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2019Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu
Automatic Feature Engineering by Deep Reinforcement Learning.
The 18th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2019Jianyu Zhang, Jianye Hao, Françoise Fogelman- Soulié, Zan Wang
ONECG: Online Negotiation Environment for Coalitional Games.
The 18th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2019Siqi Chen, Yonghao Cui, Cong Shang, Jianye Hao, Gerhard Weiss
Learning Adaptive Display Exposure for Real-Time Advertising.
The 28th ACM International Conference on Information and Knowledge Management (CIKM): 2019Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
Towards Efficient Detection and Optimal Response against Sophisticated Opponents.
The 28th International Joint Conference on Artificial Intelligence (IJCAI): 2019Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE): 2019Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen
Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism.
The 17th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2018Yixi Wang, Wenhuan Lu, Jianye Hao, Jianguo Wei, Ho-fung Leung
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid.
The 17th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2018Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac
The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning.
The 17th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2018Chengwei Zhang, Xiaohong Li, Jianye Hao, Sandip Sen, Wanli Xue, Zhiyong Feng
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.
The 17th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2018Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
The 32nd Conference on Neural Information Processing Systems (NeurIPS) (NeurIPS): 2018Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.
The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI) (PRICAI): 2018Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao
ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning.
The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications / 12th IEEE International Conference On Big Data Science And Engineering, TrustCom/BigDataSE (TrustCom/BigDataSE): 2018Gaosheng Liu, Xin Wang, Xiaohong Li, Jianye Hao, Zhiyong Feng
Towards Solving Decision Making Problems Using Probabilistic Model Checking.
The 22nd International Conference on Engineering of Complex Computer Systems (ICECCS): 2017Ling Shi, Shuang Liu, Jianye Hao, Jun Yang Koh, Zhe Hou, Jin Song Dong
Defending Against Man-In-The-Middle Attack in Repeated Games.
The 26th International Joint Conference on Artificial Intelligence (IJCAI): 2017Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang
An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network.
The 14th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS): 2017Huijuan He, Xiaohong Li, Zhiyong Feng, Jianye Hao, Xiaofei Wang, Haijun Zhang
Automated Software Security Requirements Recommendation Based on FT-SR Model.
The 29th International Conference on Software Engineering and Knowledge Engineering (SEKE): 2017Jiangjuan Wang, Xiaohong Li, Zhiyong Feng, Jianye Hao, Guangquan Xu, Zhuobing Han
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).
The 15th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS): 2016Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu
Designing minimal effective normative systems with the help of lightweight formal methods.
The 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (SIGSOFT FSE): 2016Jianye Hao, Eunsuk Kang, Jun Sun, Daniel Jackson
Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3.
TrustCom 2016: The 15th IEEE International Conference on Trust, Security, and Privacy in Computing and Communications (Trustcom/BigDataSE/ISPA): 2016Kunding Fang, Xiaohong Li, Jianye Hao, Zhiyong Feng
An Adaptive Markov Strategy for Effective Network Intrusion Detection.
The 27th International Conference on Tools with Artificial Intelligence (ICTAI): 2015Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun
Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory.
KI 2014: Advances in Artificial Intelligence - 37th Annual German Conference on AI (KI): 2014Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung
Learning to Achieve Socially Optimal Solutions in General-Sum Games.
PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI): 2012Jianye Hao, Ho-fung Leung
Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games.
PRICAI 2012: Trends in Artificial Intelligence - 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI): 2012Jianye Hao, Ho-fung Leung
Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction.
PRIMA 2012: Principles and Practice of Multi-Agent Systems - 15th International Conference (PRIMA): 2012Jianye Hao, Songzheng Song, Yang Liu, Jun Sun, Lin Gui, Jin Song Dong, Ho-fung Leung
