Jianye Hao Professor Tianjin University Tianjin, China, 300350 Deep Reinforcement Learning Lab Email jianye.hao@tju.edu.cn

Jianye Hao is a Professor at College of Intelligence and Computing ,Tianjin University.

Jianye's research focuses on deep reinforcement learning and multiagent systems and apply those techniques and methodologies to address large-scale and dynamic decision-making problems including chip design and autonomous driving (collaboration with Huawei), game AI (deployed in a number of commercial game products in Netease), ads display optimization in e-commerce (deployed in Alibaba's Taobao Platform), Wireless network and Data center optimization (collaboration with Huawei) and so on.

This page may not be updated frequently. For more information, please visit our lab: rl.beiyang.ren.

• 2013.9-2015.4: MIT-SUTD Joint Postdoc Researcher
• 2009.7-2013.7: The Chinese University of Hong Kong , Computer Science and Engineering, PhD
• 2004.9-2008.7: Harbin Institute of Technology , Computer Science and Technology, Bachelor of Engineering

• Visiting Scholar at School of Computer Science and Software Engineering, University of Wollongong, Sep 2014 - Oct 2014, Host: Prof. Minjie Zhang
• Visiting Scholar at School of Computing, National University of Singapore, July, 2011 - December, 2011, Host:Prof. Jin Song Dong

Current research focuses on :

• Multiagent Systems (multiagent learning, game theory, automated negotiation)
• Artificial Intelligence (Deep Reinforcement Learning, Machine Learning)

See more details at: Research page

• Rethinking Decision Transformer via Hierarchical Reinforcement Learning, ICML, 2024
• KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations, ICML, 2024
• EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search, ICML, 2024
• Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts, CVPR, 2024
• Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback, ICLR, 2024
• AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model, ICLR, 2024
• Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning, Artificial Intelligence (AIJ)， 2023
• 博弈智能的研究与应用, 中国科学·信息科学， 2023
• MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL, ICML, 2023
• RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution, ICML, 2023
• ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation, ICLR, 2023
• Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks, ICLR, 2023
• EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model, ICLR, 2023

See full publications: Publication page

PhD students:

• Xiaotian Hao, PhD, 4th year - Learning to optimize using reinforcement learning
• Yi Ma, PhD, 4th year - Offline reinforcement learning
• Fei Ni, PhD, 3rd year - Generative modeling and embodied AI
• Pengyi Li, PhD, 2nd year - Evolutionary reinforcement learning
• Jinyi Liu, PhD, 2nd year - Offline reinforcement learning and LLM agents
• Yifu Yuan, PhD, 1st year - RLHF and diffusion models

See more details at: Team page

• Best System Paper Award in CoRL 2020:" SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving", 2020
• ACM SIGSOFT Distinguished Paper Award in ASE 2019:" Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning", 2019
• Best Paper Award in DAI 2019:" Achieving Cooperation Through Deep Multiagent Reinforcement Learning in Sequential Prisoner's Dilemmas", 2019
• CCF Young Scholar Award, 2017-2020.
• Tianjin Young Talent 1000 Plan, 2015-2018.
• Second Place in The Fifth International Automated Negotiating Agent Competition (ANAC2015) at AAMAS 2015, Turkey, 2015.
• Endeavour Research Fellowship, 2014-2015.
• Champion of The Third International Automated Negotiating Agent Competition (ANAC 2012) at AAMAS 2012 , Spain, 2012.
• The Best Agent in Discounted Domains in The Third International Automated Negotiating Agent Competition (ANAC 2012) at AAMAS 2012.
• Global Scholarship for Research Excellence - awarded by The Chinese University of Hong Kong, 2011.

• Organizer
- PRICAI 2018 Co-PC chair (Reinforcement Learning Track)
- DAI 2019 Publicity Chair, 2020 Sponsor Chair
- Co-chair of CCML workshop on Reinforcement Learning, 2017
- Co-chair of International Workshop on Multiagent Learning: Theory and Application, 2016

• (Senior) Program Committee Member of AAAI、IJCAI、ICML、NeurIPS、AAMAS、CIKM

• Introduction to Artificial Intelligence, 2015-present, Tianjin University
• Advanced Artificial Intelligence, 2015-present, Tianjin University
• Advanced Big Data, 2015-2018, Tianjin University