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ICML
1999
IEEE
13 years 12 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
IDEAL
2003
Springer
14 years 22 days ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...
ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
TCSV
2010
13 years 2 months ago
Cooperative Peer-to-Peer Streaming: An Evolutionary Game-Theoretic Approach
While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which consequently leads to substanti...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
CHI
2011
ACM
12 years 11 months ago
Evaluating the benefits of 3d stereo in modern video games
We present a study that investigates user performance benefits of 3D stereo in modern video games. Based on an analysis of several video games that are best suited for use with co...
Joseph J. LaViola Jr., Tad Litwiller