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ICML
2002
IEEE
14 years 7 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
ICCBR
2005
Springer
13 years 11 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles
ASSETS
2009
ACM
14 years 24 days ago
ClassInFocus: enabling improved visual attention strategies for deaf and hard of hearing students
Deaf and hard of hearing students must juggle their visual attention in current classroom settings. Managing many visual sources of information (instructor, interpreter or caption...
Anna Carpenter Cavender, Jeffrey P. Bigham, Richar...
IJCAI
2007
13 years 7 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
AIPS
2007
13 years 8 months ago
Online Planning for Resource Production in Real-Time Strategy Games
Planning in domains with temporal and numerical properties is an important research problem. One application of this is the resource production problem in real-time strategy (RTS)...
Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, Chri...