Journals in DBLP

Machine Learning
2007, volume: 67, number: 1-2

1. Amy R. Greenwald, Michael L. Littman
   Introduction to the special issue on learning and computational game theory. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:3-6 [Journal]
   
2. Elchanan Mossel, Sébastien Roch
   Slow emergence of cooperation for win-stay lose-shift on trees. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:7-22 [Journal]
   
3. Vincent Conitzer, Tuomas Sandholm
   AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:23-43 [Journal]
   
4. Rob Powers, Yoav Shoham, Thuc Vu
   A general criterion and an algorithmic framework for learning in multi-agent systems. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:45-76 [Journal]
   
5. Shie Mannor, Jeff S. Shamma, Gürdal Arslan
   Online calibrated forecasts: Memory efficiency versus universality for learning in games. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:77-115 [Journal]
   
6. Albert Xin Jiang, Kevin Leyton-Brown
   Bidding agents for online auctions with hidden bids. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:117-143 [Journal]
   
7. Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh
   Learning payoff functions in infinite games. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2007, v:67, n:1-2, pp:145-168 [Journal]