Research & Trends for Converged AI Technology based on Unsupervised Reinforcement Learning

비지도 강화학습 기반의 인공지능 융합 기술 연구 및 동향

  • 김민석 (상명대학교 휴먼지능로봇공학과)
  • Published : 2020.06.30

Abstract

Keywords

References

  1. Juncheng Li, Xin Wang, Siliang Tang, etc. "Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation", Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10.1109/CVPR42600.2020.01214
  2. Abhishek Gupta, Benjamin Eysenbach, Chelsea Finn, and Sergey Levine, "Unsupervised Meta-Learning for Reinforcement Learning", arXiv:1806.04640
  3. Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, etc. "Asynchronous Methods for Deep Reinforcement Learning", Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1928-1937, 2016
  4. Colin FyfePei Ling Lai, "Reinforcement Learning Reward Functions for Unsupervised Learning", ISNN 2007: Advances in Neural Networks - ISNN 2007 pp 397-402
  5. DADS: Unsupervised Reinforcement Learning for Skill Discovery Project, https://ai.googleblog.com/2020/05/dads-unsupervised-reinforcement.html