150 search results - page 1 / 30 » Using multi-agent systems for learning optimal policies for ... |
96
Voted
AAAI
2010
14 years 11 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
118
Voted
AAMAS
2005
Springer
14 years 10 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
ACMSE
2007
ACM
15 years 2 months ago
2007
ACM
96
Voted
NIPS
2003
14 years 11 months ago
2003
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
112
Voted
MATES
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...