Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture

Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee. Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. In IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021. pages 4762-4768, IEEE, 2021. [doi]

@inproceedings{ChangCTLHL21,
  title = {Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture},
  author = {Chin-Jui Chang and Yu-Wei Chu and Chao-Hsien Ting and Hao-Kang Liu and Zhang-Wei Hong and Chun-Yi Lee},
  year = {2021},
  doi = {10.1109/ICRA48506.2021.9562026},
  url = {https://doi.org/10.1109/ICRA48506.2021.9562026},
  researchr = {https://researchr.org/publication/ChangCTLHL21},
  cites = {0},
  citedby = {0},
  pages = {4762-4768},
  booktitle = {IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-9077-8},
}