Model-Based Reinforcement Learning via Imagination with Derived Memory

Yao Mu, Yuzheng Zhuang, Bin Wang 0034, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li 0001, Chongjie Zhang, Jianye Hao. Model-Based Reinforcement Learning via Imagination with Derived Memory. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 9493-9505, 2021. [doi]

@inproceedings{MuZWZLCLLZH21,
  title = {Model-Based Reinforcement Learning via Imagination with Derived Memory},
  author = {Yao Mu and Yuzheng Zhuang and Bin Wang 0034 and Guangxiang Zhu and Wulong Liu and Jianyu Chen and Ping Luo and Shengbo Li 0001 and Chongjie Zhang and Jianye Hao},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/4ebccfb3e317c7789f04f7a558df4537-Abstract.html},
  researchr = {https://researchr.org/publication/MuZWZLCLLZH21},
  cites = {0},
  citedby = {0},
  pages = {9493-9505},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}