Generative Adversarial Mapping Networks. - Jianbo Guo; Guangxiang Zhu; Jian Li (CoRR, 2017)

Object-Oriented Dynamics Predictor. - Guangxiang Zhu; Zhiao Huang; Chongjie Zhang (NeurIPS, 2018)

Object-Oriented Dynamics Predictor. - Guangxiang Zhu; Chongjie Zhang (CoRR, 2018)

Context-Aware Policy Reuse. - Siyuan Li 003; Fangda Gu; Guangxiang Zhu; Chongjie Zhang (AAMAS, 2019)

Object-Oriented Dynamics Learning through Multi-Level Abstraction. - Guangxiang Zhu; Jianhao Wang; Zhizhou Ren; Chongjie Zhang (CoRR, 2019)

Object-Oriented Dynamics Learning through Multi-Level Abstraction. - Guangxiang Zhu; Jianhao Wang; Zhizhou Ren; Zichuan Lin; Chongjie Zhang (AAAI, 2020)

Episodic Reinforcement Learning with Associative Memory. - Guangxiang Zhu; Zichuan Lin; Guangwen Yang; Chongjie Zhang (ICLR, 2020)

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning. - Guangxiang Zhu; Minghao Zhang; Honglak Lee; Chongjie Zhang (NeurIPS, 2020)

Generalizable Episodic Memory for Deep Reinforcement Learning. - Hao Hu 006; Jianing Ye; Guangxiang Zhu; Zhizhou Ren; Chongjie Zhang (ICML, 2021)

Model-Based Reinforcement Learning via Imagination with Derived Memory. - Yao Mu 001; Yuzheng Zhuang; Bin Wang 034; Guangxiang Zhu; Wulong Liu; Jianyu Chen; Ping Luo 002; Shengbo Li 001; Chongjie Zhang; Jianye Hao (NeurIPS, 2021)

On the Estimation Bias in Double Q-Learning. - Zhizhou Ren; Guangxiang Zhu; Hao Hu 006; Beining Han; Jianglun Chen; Chongjie Zhang (NeurIPS, 2021)

Offline Reinforcement Learning with Reverse Model-based Imagination. - Jianhao Wang; Wenzhe Li; Haozhe Jiang; Guangxiang Zhu; Siyuan Li 003; Chongjie Zhang (NeurIPS, 2021)