Wang, Jianhong

16 publications

NeurIPS 2025 A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning Anjie Liu, Jianhong Wang, Samuel Kaski, Jun Wang, Mengyue Yang

NeurIPS 2024 Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan

AAAI 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning Wangkun Xu, Jianhong Wang, Fei Teng

ICML 2024 Open Ad Hoc Teamwork with Cooperative Game Theory Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

AAAI 2023 Learning to Shape Rewards Using a Game of Two Partners David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang

ICML 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang

CoRL 2023 Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang, Jianhong Wang, Joschka Boedecker

ICLR 2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang

ICML 2022 Learning to Estimate and Refine Fluid Motion with Physical Dynamics Mingrui Zhang, Jianhong Wang, James B Tlhomole, Matthew Piggott

NeurIPS 2022 SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim

ICLR 2021 Modelling Hierarchical Structure Between Dialogue Policy and Natural Language Generator with Option Framework for Task-Oriented Dialogue System Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

NeurIPS 2021 Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks Jianhong Wang, Wangkun Xu, Yunjie Gu, Wenbin Song, Tim C Green

IJCAI 2021 Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market Dawei Qiu, Jianhong Wang, Junkai Wang, Goran Strbac

AAAI 2020 Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

NeurIPS 2018 Thermostat-Assisted Continuously-Tempered Hamiltonian Monte Carlo for Bayesian Learning Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu