Name
Abstract | ||
|---|---|---|
Being one of the earliest computer games, the Pong game is well-known for its simplicity, which makes it suitable for becoming one of the very first problems in Artificial Intelligence and Machine Learning: The goal is to create a self-playing agent that can compete against humans. In the past there have been introduced various Machine Learning approaches to solve this problem. This paper gives a summary of some notable techniques to creating a self-learning agent for the Pong game. In addition, it proposes a template for developing this idea into a full-fledged application. An implementation in Java is available online. |
Year | Venue | Field |
|---|---|---|
2018 | EANN | Computer science,Artificial intelligence,Java,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benedikt Nork | 1 | 0 | 0.34 |
| Geraldine Denise Lengert | 2 | 0 | 0.34 |
| Robert Uwe Litschel | 3 | 0 | 0.34 |
| Nasim Ahmad | 4 | 0 | 0.34 |
| Gia Thuan Lam | 5 | 0 | 0.68 |
| Doina Logofatu | 6 | 17 | 16.74 |