ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper experimentally evaluates multiagent learning algorithms playing repeated matrix games to maximize their cumulative return. Previous works assessed that Qlearning surpas...
NIPS
2001
14 years 1 months ago
2001
We propose a new classification for multi-agent learning algorithms, with each league of players characterized by both their possible strategies and possible beliefs. Using this c...
ATAL
2009
Springer
14 years 7 months ago
2009
Springer
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...