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» Learning the task allocation game
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ATAL
2006
Springer
13 years 8 months ago
Learning the task allocation game
The distributed task allocation problem occurs in domains like web services, the grid, and other distributed systems. In this problem, the system consists of servers and mediators...
Sherief Abdallah, Victor R. Lesser
IJCAI
2007
13 years 6 months ago
Analogical Learning in a Turn-Based Strategy Game
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Thomas R. Hinrichs, Kenneth D. Forbus
CHI
1994
ACM
13 years 9 months ago
What HCI designers can learn from video game designers
Computer users have tasks they need to perform, and are therefore motivated to overcome poorly designed interfaces. With video games, there is no external motivation for the task ...
Randy Pausch, Rich Gold, Tim Skelly, David Thiel

Publication
233views
12 years 3 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
AAAI
2006
13 years 6 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran