14 search results - page 2 / 3 » On the convergence of regret minimization dynamics in concav... |
ATAL
2010
Springer
13 years 6 months ago
2010
Springer
Games are used to evaluate and advance Multiagent and Artificial Intelligence techniques. Most of these games are deterministic with perfect information (e.g. Chess and Checkers)....
NIPS
2004
13 years 6 months ago
2004
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
ECCC
2007
13 years 4 months ago
2007
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper studies the effects of introducing altruistic agents into atomic congestion games. Altruistic behavior is modeled by a trade-off between selfish and social objectives. ...