"Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based ..."

Zachary C. Goddard et al. (2022)

> Home

Details and statistics

DOI: 10.2514/1.I011044

access: closed

type: Journal Article

metadata version: 2024-04-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jacic/GoddardWWPM22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jacic/GoddardWWPM22
Zachary C. Goddard, Kenneth Wardlaw, Kyle R. Williams, Julie Parish, Anirban Mazumdar:
Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner. J. Aerosp. Inf. Syst. 19(7): 468-479 (2022)

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.