Zongzhang Zhang

9 papers in the IJCAI proceedings

IJCAI 2025

Reinforced In-Context Black-Box Optimization

with Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Chao Qian

doi:10.24963/ijcai.2025/994

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Reward Models in Deep Reinforcement Learning: A Survey

with Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, De-Chuan Zhan

doi:10.24963/ijcai.2025/1199

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IJCAI 2024

Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization

with Rui Kong, Chenyang Wu, Chen-Xiao Gao, Ming Li

doi:10.24963/ijcai.2024/477

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IJCAI 2022

Efficient Multi-Agent Communication via Shapley Message Value

with Di Xue, Lei Yuan, Yang Yu

doi:10.24963/ijcai.2022/82

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Multi-Agent Concentrative Coordination with Decentralized Task Representation

with Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Chongjie Zhang, Yang Yu

doi:10.24963/ijcai.2022/85

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IJCAI 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

with Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng

doi:10.24963/ijcai.2020/428

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

with Cong Fei, Bin Wang, Yuzheng Zhuang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu

doi:10.24963/ijcai.2020/405

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IJCAI 2019

Monte Carlo Tree Search for Policy Optimization

with Xiaobai Ma, Katherine Driggs-Campbell, Mykel J. Kochenderfer

doi:10.24963/ijcai.2019/432

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IJCAI 2017

Weighted Double Q-learning

with Zhiyuan Pan, Mykel J. Kochenderfer

doi:10.24963/ijcai.2017/483

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