Abstract
As graphics in modern computer games move closer to photorealism, the emphasis for game developers is switching towards improving the in-game Artificial Intelligence (AI). Traditional scripting and rule-based systems are being replaced by more intelligent and immersive approaches. The goal of AI in computer games is to create intelligent autonomous agents that mimic human behaviour as closely as possible, in order to create a challenging yet enjoyable experience for human players. This paper describes the application of Reinforcement Learning (RL), an approach inspired by how humans learn, to the creation of intelligent bots in a First Person Shooter (FPS) game.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | Incorporating Reinforcement Learning into the Creation of Human-Like Autonomous Agents in First Person Shooter Games |
| Number of pages | 6 |
| Publication status | Published - 1 Nov 2011 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Glavin, FG,Madden, MG,ORiordan, C,Redfern, S,Butler V,Costello, F
Fingerprint
Dive into the research topics of 'GAME-ON 2011: 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver