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AIIDE
2008
13 years 11 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
AAAI
2007
13 years 11 months ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
CIG
2005
IEEE
14 years 2 months ago
A Hybrid AI System for Agent Adaptation in a First Person Shooter
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
Abdennour El Rhalibi, Michael Burkey
EWCBR
2008
Springer
13 years 10 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
ICANN
2005
Springer
14 years 2 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...