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» Reinforcement learning for games: failures and successes
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ATAL
2011
Springer
12 years 4 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
13 years 3 months ago
Adaptive multi-robot coordination: A game-theoretic perspective
Multi-robot systems researchers have been investigating adaptive coordination methods for improving spatial coordination in teams. Such methods adapt the coordination method to th...
Gal A. Kaminka, Dan Erusalimchik, Sarit Kraus
CVPR
2012
IEEE
11 years 7 months ago
Exemplar-based human action pose correction and tagging
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential appl...
Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Bain...