"HG2P: Hippocampus-inspired high-reward graph and model-free Q-gradient ..."

Haoran Wang et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.NEUNET.2025.107781

access: closed

type: Journal Article

metadata version: 2025-07-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nn/WangSTSJ25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nn/WangSTSJ25
Haoran Wang, Yaoru Sun, Zeshen Tang, Haibo Shi, Chenyuan Jiao:
HG2P: Hippocampus-inspired high-reward graph and model-free Q-gradient penalty for path planning and motion control. Neural Networks 191: 107781 (2025)

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.