"Trading Switching Setup Based on Reinforcement Learning Applied to a ..."

Michel C. R. Leles et al. (2019)

> Home

Details and statistics

DOI: 10.1109/SYSCON.2019.8836887

access: closed

type: Conference or Workshop Paper

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/syscon/LelesSON19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/syscon/LelesSON19
Michel C. R. Leles, Elton Felipe Sbruzzi, José M. P. de Oliveira, Cairo L. Nascimento Jr.:
Trading Switching Setup Based on Reinforcement Learning Applied to a Multiagent System Simulation of Financial Markets. SysCon 2019: 1-8

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.