"Improving the FQF Distributional Reinforcement Learning Algorithm in ..."

Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-21686-2_16

access: closed

type: Conference or Workshop Paper

metadata version: 2022-11-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bracis/ResendeSL22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bracis/ResendeSL22
Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia:
Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment. BRACIS (1) 2022: 221-236

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.