un agente que es capas de aprender a jugar un juego en especial, este juego va a ser el Snake (el juego de la viborita). El agente (jugador), deberá ser capaz de aprender a jugar este juego por si mismo, esto lo haremos aplicando Aprendizajes por Refuerzos, una técnica del área de la Inteligencia Artificial (IA).
active 2024-09-28 → 2024-11-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 36 days from 2024-09-28 to 2024-11-02. Pushes: 28 total, peak 11 in a day. Pull requests: 14 total, peak 10 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
- Pull request#7tomikorzu2024-11-02 13:40
- Pull request#7tomikorzu2024-11-02 13:40
- Pull request#6tomikorzu2024-11-02 13:03
- Pull request#6tomikorzu2024-11-02 13:02
- Pull request#5tomikorzu2024-11-02 12:54
- Pull request#5tomikorzu2024-11-02 12:54
- Pull request#4tomikorzu2024-11-02 12:21
- Pull request#4tomikorzu2024-11-02 12:21
- Pull request#3tomikorzu2024-11-02 12:03
- Pull request#3tomikorzu2024-11-02 12:02
- Pull request#2ruohl2024-10-26 15:21
- Pull request#2ruohl2024-10-26 15:20
- Pull request#1ruohl2024-10-26 15:20
- Pull request#1ruohl2024-10-26 15:20
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.