179 search results - page 31 / 36 » On Learning Algorithms for Nash Equilibria |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
AAAI
2010
14 years 11 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...