Dynamics-adaptive Latent Actor-Critic (DLAC)

Acknowledgement

This work was partly supported by the Institute for Information & Communications Technology Promotion (2019-0-01367-BabyMind, 2015-0-00310-SW.StarLab, 2017-0-01772-VTT, 2018-0-00622-RMI) and Korea Institute for Advancement Technology (P0006720-GENKO) grant funded by the Korea government.

Citation

@article{lee20dlac,
  author    = {Dong-min Lee, Chang-hoon Jeong, Byoung-Tak Zhang},
  title     = {Dynamics-adaptive Latent Actor-Critic: Efficient Deep Reinforcement Learning with a Latent Variable Model},
  journal   = {Korea Computer Congress(KCC)},
  year      = {2020},
  url       = {https://bi.snu.ac.kr/Publications/Conferences/Domestic/KCC2020/KCC2020_DMLeeJZ.pdf}
}

License

MIT License