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» Learning of Resource Allocation Strategies for Game Playing
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AIIDE
2008
13 years 9 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel
CHI
2007
ACM
14 years 7 months ago
Learning shape writing by game playing
We present a computer game designed to efficiently and playfully teach users shape writing ? a new text entry method for pen-based devices. Keywords Text entry, mobile devices, sh...
Per Ola Kristensson, Shumin Zhai
ICASSP
2011
IEEE
12 years 10 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
CIG
2006
IEEE
14 years 1 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone
EURONGI
2006
Springer
13 years 10 months ago
Framework for Resource Allocation in Heterogeneous Wireless Networks Using Game Theory
This is a framework for resource allocation in a heterogeneous system composed of various access networks, for instance Third Generation wireless networks (3G) and WLAN, in the pre...
Mariana Dirani, Tijani Chahed