108 search results - page 5 / 22 » Transferring an Outcome-Oriented Learning Architecture to an... |
AIIDE
2009
13 years 5 months ago
2009
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
ECML
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
AAAI
2007
13 years 10 months ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...