"PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for ..."

Shilei Li et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3452008

access: closed

type: Journal Article

metadata version: 2021-09-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tist/LiLSCYY21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tist/LiLSCYY21
Shilei Li, Meng Li, Jiongming Su, Shaofei Chen, Zhimin Yuan, Qing Ye:
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning. ACM Trans. Intell. Syst. Technol. 12(3): 35:1-35:21 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.