Machine Learning, Volume 67, 2007

Volume 67, Numbers 1-2, May 2007

• Amy R. Greenwald, Michael L. Littman:
  Introduction to the special issue on learning and computational game theory. 3-6
  
• Elchanan Mossel, Sébastien Roch:
  Slow emergence of cooperation for win-stay lose-shift on trees. 7-22
  
• Vincent Conitzer, Tuomas Sandholm:
  AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents. 23-43
  
• Rob Powers, Yoav Shoham, Thuc Vu:
  A general criterion and an algorithmic framework for learning in multi-agent systems. 45-76
  
• Shie Mannor, Jeff S. Shamma, Gürdal Arslan:
  Online calibrated forecasts: Memory efficiency versus universality for learning in games. 77-115
  
• Albert Xin Jiang, Kevin Leyton-Brown:
  Bidding agents for online auctions with hidden bids. 117-143
  
• Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh:
  Learning payoff functions in infinite games. 145-168
  

Volume 67, Number 3, June 2007

• Jussi Klemelä:
  Density estimation with stagewise optimization of the empirical risk. 169-195
  
• Don R. Hush, Clint Scovel, Ingo Steinwart:
  Stability of Unstable Learning Algorithms. 197-206
  
• Rong Jin, Jian Zhang:
  Multi-Class Learning by Smoothed Boosting. 207-227