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IJCAI
2007
15 years 7 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
CHI
2005
ACM
16 years 6 months ago
Learning user interest for image browsing on small-form-factor devices
Mobile devices which can capture and view pictures are becoming increasingly common in our life. The limitation of these small-form-factor devices makes the user experience of ima...
Xing Xie, Hao Liu, Simon Goumaz, Wei-Ying Ma
ICCBR
2010
Springer
15 years 10 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
IICS
2009
Springer
16 years 29 days ago
Splitting Overlay Network for Peer-to-Peer-based Massively Multiplayer Online Games
: Massively Multiplayer Online Games (MMOGs) gradually become one of the most popular internet applications. Traditional client-server architecture is widely used in MMOGs’ deplo...
Cheng Liu, Wentong Cai
IAT
2007
IEEE
16 years 22 days ago
Designing the Market Game for a Commodity Trading Simulation
In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trading scenarios, and (b) can be used in capturing human traders’ beha...
Shih-Fen Cheng