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» Learning Action Selection Network of Intelligent Agent
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ATAL
2009
Springer
15 years 8 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
AAAI
2012
13 years 4 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
129
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CIKM
2011
Springer
14 years 1 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
AIIDE
2008
15 years 4 months ago
OpenNERO: A Game Platform for AI Research and Education
OpenNERO is an open source game platform designed for game AI research. The software package combines features commonly available in modern game engines (such as 3D graphics, phys...
Igor Karpov, John Sheblak, Risto Miikkulainen
AAAI
2010
15 years 3 months ago
Predicting the Importance of Newsfeed Posts and Social Network Friends
As users of social networking websites expand their network of friends, they are often flooded with newsfeed posts and status updates, most of which they consider to be understand...
Tim Paek, Michael Gamon, Scott Counts, David Maxwe...