We study two problems, that of computing social optimum and that of finding fair allocations, in the congestion game model of Milchtaich[8] Although we show that the general prob...
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
: We believe that much novel insight into the worldwide web can be obtained from taking into account the important fact that it is created, used, and run by selfish optimizing agen...
Georgios Kouroupas, Elias Koutsoupias, Christos H....
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...