Jianye Hao

发表

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving pdf

Dong Chen, Weinan Zhang, Jun Wang, 2020, ArXiv.

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack

Bo An, Xiaohong Li, Jianye Hao, 2017, AAAI.

Defending Against Man-In-The-Middle Attack in Repeated Games

Bo An, Xiaohong Li, Jianye Hao, 2017, IJCAI.

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

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

Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction

Jianye Hao, Zongzhang Zhang, Yingfeng Chen, 2018 .

Heuristically Adaptive Policy Reuse in Reinforcement Learning

Jianye Hao, Han Wang, Tianpei Yang, 2019 .

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse

Jianye Hao, Zhi Qiao, Peizhe Sun, 2020 .

Optimistic Exploration with Backward Bootstrapped Bonus for Deep Reinforcement Learning

Chenjia Bai, Zhaoran Wang, Jianye Hao, 2021 .

Reaching Good Agreements in Multilateral Agent-based Negotiations ∗

Jianye Hao, Gerhard Weiss, Siqi Chen, 2015 .

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

Bin Wang, Jianye Hao, Wulong Liu, 2020, IJCAI.

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

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

Low-Bias Amplification for Robust DNA Data Readout

Jianye Hao, C. Zhang, Yonggang Ke, 2020, bioRxiv.

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.

Exploration in Deep Reinforcement Learning: From Single-Agent to Multi-Agent Domain

Jianye Hao, Zhaopeng Meng, Tianpei Yang, 2022 .

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder

Jianye Hao, Zhitang Chen, Xinwei Shen, 2020, ArXiv.

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

Jianye Hao, Yifu Yuan, Yao Mu, 2022, ArXiv.

Individual Reward Assisted Multi-Agent Reinforcement Learning

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

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning

Lei Ma, Yepang Liu, Yan Zheng, 2021, 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE).

Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning

Ho-fung Leung, Jianye Hao, Muzi Liu, 2020, ICAISC.

Speeding up Collective Cell Migration Using Deep Reinforcement Learning

Tian Gan, Zhenyu Liao, Jianye Hao, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Dynamic Bottleneck for Robust Self-Supervised Exploration pdf

Chenjia Bai, Zhaoran Wang, Jianye Hao, 2021, NeurIPS.

Efficient policy detecting and reusing for non-stationarity in Markov games

Yan Zheng, Jianye Hao, Zongzhang Zhang, 2020, Autonomous Agents and Multi-Agent Systems.

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

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

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning pdf

Jianye Hao, Yaodong Yang, Wulong Liu, 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.

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes

Jianye Hao, Xiaohong Li, Karl Tuyls, 2018, Autonomous Agents and Multi-Agent Systems.

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

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

Towards Efficient Detection and Optimal Response against Sophisticated Opponents

Yan Zheng, Jianye Hao, Zhaopeng Meng, 2018, IJCAI.

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents

Jianye Hao, Zhaopeng Meng, Tianpei Yang, 2018, AAMAS.

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents

Yan Zheng, Jianye Hao, Zhaopeng Meng, 2018, NeurIPS.

Hierarchical Deep Multiagent Reinforcement Learning pdf

Li Wang, Yan Zheng, Jianye Hao, 2018, ArXiv.

An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers

Jun Sun, Xiaohong Li, Jianye Hao, 2018, IEEE Transactions on Smart Grid.

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

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

Fairness in Cooperative Multiagent Systems

Ho-fung Leung, Jianye Hao, Jianye Hao, 2016 .

Social Optimality in Competitive Multiagent Systems

Jianye Hao, Ho-fung Leung, 2016 .

Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes

Xiaohong Li, Jianye Hao, Zhiyong Feng, 2016, ECAI.

Reinforcement social learning of social optimality with influencer agents

Ho-fung Leung, Jianye Hao, Jianye Hao, 2015, Web Intell..

Adaptive Defending Strategy for Smart Grid Attacks

Jun Sun, Jianye Hao, Daniel Jackson, 2014, SEGS@CCS.

Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality

Ho-fung Leung, Jianye Hao, Jianye Hao, 2014, Autonomous Agents and Multi-Agent Systems.

Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning

Ho-fung Leung, Jianye Hao, Jianye Hao, 2013, TAAS.

Maintaining cooperation in homogeneous multi-agent system

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Learning to Achieve Socially Optimal Solutions in General-Sum Games

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, PRICAI.

Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions

Ho-fung Leung, Jianye Hao, Jianye Hao, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Multi-Agent Game Abstraction via Graph Attention Neural Network

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

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning

Chen Chen, Jianye Hao, Wulong Liu, 2019, DAI.

SC2disease: a manually curated database of single-cell transcriptome for human diseases

Jianye Hao, Jiajie Peng, Zhongyu Wei, 2020, Nucleic Acids Res..

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

Jianye Hao, Yifu Yuan, Yao Mu, 2022, ICLR.

Generalized Centered 2-D Principal Component Analysis

Shizhan Chen, Jianye Hao, Xi Zheng, 2021, IEEE Transactions on Cybernetics.

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction

Jianye Hao, Jiajie Peng, Zhongyu Wei, 2021, Briefings Bioinform..

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework

Yan Zheng, Jianye Hao, Yaodong Yang, 2019, AAMAS.

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines pdf

Hankz Hankui Zhuo, Jianye Hao, Chao Yu, 2021, ArXiv.

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation pdf

Haitham Bou-Ammar, Jianye Hao, Zhi Wang, 2020, ArXiv.

Exploration in Deep Reinforcement Learning: A Comprehensive Survey

Jianye Hao, Hongyao Tang, Zhaopeng Meng, 2021, ArXiv.

A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction

Jianye Hao, Xuequn Shang, Jiajie Peng, 2021, bioRxiv.

Effective norm emergence in cell systems under limited communication

Wang Li, Hanxu Hou, Jianye Hao, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Supplementary document of “ A learning-based framework for miRNA-disease association identification using neural networks ”

Jianye Hao, Xuequn Shang, Jiajie Peng, 2019 .

Principled Exploration via Optimistic Bootstrapping and Backward Induction pdf

Jianye Hao, Chenjia Bai, Zhaoran Wang, 2021, ICML.

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

Jianye Hao, Yingfeng Chen, Hongyao Tang, 2019, IJCAI.

Individual Rationality in Competitive Multiagent Systems

Ho-fung Leung, Jianye Hao, Jianye Hao, 2016 .

Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning

Jianye Hao, H. Zhuo, Chen Chen, 2023, NeurIPS.

Attention-based recurrent neural network for influenza epidemic prediction

Jianye Hao, Yaodong Yang, Shuang Liu, 2019, BMC Bioinformatics.

Efficient meta reinforcement learning via meta goal generation

Jianye Hao, Hongyao Tang, Haotian Fu, 2019, ArXiv.

Ordering-Based Causal Discovery with Reinforcement Learning

Zhitang Chen, Jianye Hao, Liangjun Ke, 2021, IJCAI.

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Zhitang Chen, Jun Wang, Xinwei Shen, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Spectral-based Graph Convolutional Network for Directed Graphs pdf

Yi Ma, Jianye Hao, Yaodong Yang, 2019, ArXiv.

Modelling Adaptive Learning Behaviours for Consensus Formation in Human Societies

Guozhen Tan, Zhen Wang, Jun Meng, 2016, Scientific Reports.

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems

Ho-fung Leung, Jianye Hao, Zhong Ming, 2015, TAAS.

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

Goran Strbac, Jianye Hao, Yaodong Yang, 2018, IJCAI.

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning pdf

Pheng-Ann Heng, Guangyong Chen, Qiong Wang, 2021, NeurIPS.

Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning

Jianye Hao, Shuang Liu, Yoriyuki Yamagata, 2018, IEEE Transactions on Software Engineering.

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks

Jianye Hao, J. Dong, Xinyu Wang, 2020, 2020 25th International Conference on Engineering of Complex Computer Systems (ICECCS).

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks pdf

Jin Song Dong, Jianye Hao, Xinyu Wang, 2019, ArXiv.

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning pdf

Jianye Hao, Xian Guo, He Ba, 2020, 2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM).

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Jianye Hao, Hongyao Tang, Zhaopeng Meng, 2021, IEEE Transactions on Neural Networks and Learning Systems.

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

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

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation

Xidong Feng, Jianye Hao, Jun Wang, 2021, CIKM.

A Survey on Interpretable Reinforcement Learning

Wulong Liu, Jianye Hao, Matthieu Zimmer, 2021, Machine Learning.

An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, PRIMA.

Learning State Representations via Retracing in Reinforcement Learning

Jianye Hao, N. Burgess, Dong Li, 2021, ICLR.

An Adversarial Imitation Click Model for Information Retrieval

Weinan Zhang, Jianye Hao, Shuai Li, 2021, WWW.

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

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

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems

Jianye Hao, Zhaopeng Meng, Xingfu Liu, 2021, NeurIPS.

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.

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

Jian Xu, Guan Wang, Zhenzhe Zheng, 2020, ICML.

Using deep reinforcement learning to speed up collective cell migration

Hanxu Hou, Jianye Hao, Yaodong Yang, 2019, BMC Bioinformatics.

Learning to Select Cuts for Efficient Mixed-Integer Programming pdf

Yong Yu, Jianye Hao, Furui Liu, 2021, Pattern Recognit..

Online Ad Hoc Teamwork under Partial Observability

Jianye Hao, Bo An, Mengchen Zhao, 2022, ICLR.

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments pdf

Yan Zheng, Jianye Hao, Zongzhang Zhang, 2018, PRICAI.

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

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

A deep reinforcement learning-based agent for negotiation with multiple communication channels

Jianye Hao, Yan Zheng, Xiaoyang Gao, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning

Lei Ma, Ting Su, Jianye Hao, 2019, 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE).

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning

Jianye Hao, Chen Chen, Xidong Feng, 2020, AAAI.

The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems

Ho-fung Leung, Jianye Hao, Jianye Hao, 2013, IJCAI.

The dynamics of reinforcement social learning in networked cooperative multiagent systems

Ho-fung Leung, Yi Cai, Jianye Hao, 2017, Eng. Appl. Artif. Intell..

FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model

Xiaohong Li, Jianye Hao, Zhiyong Feng, 2017, 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS).

Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service

Honghao Gao, Zhiyong Feng, Jianye Hao, 2016, Int. J. Softw. Eng. Knowl. Eng..

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning pdf

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

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning

Jianye Hao, H. Zhuo, Chen Chen, 2023, ArXiv.

Multi-agent Policy Reciprocity with Theoretical Guarantee

Jianye Hao, Yunfeng Shao, Yinchuan Li, 2023, ArXiv.

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint pdf

Jianye Hao, Mengchen Zhao, Dongbin Zhao, 2020, ArXiv.

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

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

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

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

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets pdf

Jianye Hao, Bin Wang, Wulong Liu, 2020, IJCAI.

Coalition-based Task Assignment in Spatial Crowdsourcing

Jianye Hao, Xiaofang Zhou, J. Guo, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning pdf

Junjie Wang, Jianye Hao, Mengchen Zhao, 2020, ArXiv.

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

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

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

Efficient and Robust Emergence of Norms through Heuristic Collective Learning

Jun Sun, Jianye Hao, Chao Yu, 2017, ACM Trans. Auton. Adapt. Syst..

Accelerating Norm Emergence Through Hierarchical Heuristic Learning

Sandip Sen, Jianye Hao, Zhaopeng Meng, 2016, ECAI.

Hierarchical Heuristic Learning towards Effcient Norm Emergence pdf

Sandip Sen, Jianye Hao, Zhaopeng Meng, 2018, ArXiv.

Designing minimal effective normative systems with the help of lightweight formal methods

Jun Sun, Jianye Hao, Daniel Jackson, 2016, SIGSOFT FSE.

Norm Emergence in Multiagent Systems

Jianye Hao, Zhaopeng Meng, Tianpei Yang, 2018, Interactions in Multiagent Systems.

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning

Yan Zheng, Jianye Hao, Zhaopeng Meng, 2020, IJCAI.

Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory

Gerhard Weiss, Ho-fung Leung, Jianye Hao, 2014, KI.

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning

Jianye Hao, H. Zhuo, Chen Chen, 2023, AAAI Conference on Artificial Intelligence.

Reciprocal Social Strategy in Social Repeated Games

Ho-fung Leung, Jianye Hao, Chi-Kong Chan, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

An efficient and robust negotiating strategy in bilateral negotiations over multiple items

Ho-fung Leung, Jianye Hao, Zhong Ming, 2014, Eng. Appl. Artif. Intell..

ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction

Lin Gui, Jun Sun, Yang Liu, 2012, PRIMA.

Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games

Ho-fung Leung, Jianye Hao, Jianye Hao, 2012, PRICAI.

CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items

Ho-fung Leung, Jianye Hao, Jianye Hao, 2014, Novel Insights in Agent-based Complex Automated Negotiation.

A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections

Dong Chen, Jianye Hao, Bin Wang, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Reinforcement Learning for Cooperative Overtaking

Jianye Hao, Chao Yu, Xin Wang, 2019, AAMAS.

Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking

Jun Sun, Yang Liu, Ho-fung Leung, 2016, IEEE Transactions on Human-Machine Systems.

Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms pdf

Zhitang Chen, Jianye Hao, Shoubo Hu, 2021, IEEE Transactions on Image Processing.

Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3

Xiaohong Li, Jianye Hao, Zhiyong Feng, 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

Efficient Deep Reinforcement Learning through Policy Transfer pdf

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

Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism

Ho-fung Leung, Wenhuan Lu, Jianye Hao, 2018, AAMAS.

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Wulong Liu, Jianye Hao, Yuzheng Zhuang, 2021, ArXiv.

Learning Adaptive Display Exposure for Real-Time Advertising

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

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning

Jianye Hao, Y. Ma, Tangjie Lv, 2023, ArXiv.

Automatic Feature Engineering by Deep Reinforcement Learning

Jianye Hao, Françoise Fogelman-Soulié, Zan Wang, 2019, AAMAS.

Explicitly Coordinated Policy Iteration

Yujing Hu, Jianye Hao, Yingfeng Chen, 2019, IJCAI.

Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems

Ho-fung Leung, Yi Cai, Jianye Hao, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Reinforcement Social Learning of Coordination in Networked Cooperative Multiagent Systems

Ho-fung Leung, Yi Cai, Jianye Hao, 2014, AAAI 2014.

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning

Jianye Hao, Xiaohong Li, Haodi Zhang, 2020, IEEE Access.

Spectral-based Graph Convolutional Network for Directed Graphs

Yaodong Yang, Jianye Hao, Y. Ma, 2019, ArXiv.

A Graph-Enhanced Click Model for Web Search

Yong Yu, Jianye Hao, Ruiming Tang, 2021, SIGIR.

An Adaptive Markov Strategy for Effective Network Intrusion Detection

Jun Sun, Yang Liu, Jianye Hao, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

Jianye Hao, Hongyao Tang, Yan Zheng, 2023, International Conference on Machine Learning.

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator pdf

Chen Chen, Yaodong Yang, Wulong Liu, 2020, ArXiv.

Blind Image Denoising via Dependent Dirichlet Process Tree

Pheng-Ann Heng, Jianye Hao, Fengyuan Zhu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

Jianye Hao, Yan Zheng, Tianpei Yang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions

Jianye Hao, Wanli Xue, Chengwei Zhang, 2022, International Journal of Machine Learning and Cybernetics.

ED2: An Environment Dynamics Decomposition Framework for World Model Construction pdf

Tianpei Yang, Hongyao Tang, Haiyin Piao, 2021, ArXiv.

Addressing Action Oscillations through Learning Policy Inertia pdf

Jianye Hao, Zhaopeng Meng, Chen Chen, 2021, AAAI.

Large Scale Deep Reinforcement Learning in War-games

Yi Ma, Jianye Hao, Hongyao Tang, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Zhitang Chen, Jianye Hao, Jun Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space

Xiaohong Li, Jianye Hao, Tianpei Yang, 2018, PRICAI.

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions pdf

Zhiyong Feng, Jianye Hao, Karl Tuyls, 2018, AAMAS.

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

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

Analyzing multi-agent systems with probabilistic model checking approach

Jun Sun, Yang Liu, Jin Song Dong, 2012, 2012 34th International Conference on Software Engineering (ICSE).

Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning

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

Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips

Jianye Hao, R. Shen, Yingfeng Chen, 2020 .

Debiased Recommendation with User Feature Balancing pdf

Guohao Cai, Jianye Hao, Jun Wang, 2022, ACM Trans. Inf. Syst..

Relational Navigation Learning in Continuous Action Space among Crowds

Wulong Liu, Jianye Hao, Yongchun Fang, 2021, IEEE International Conference on Robotics and Automation.