121 search results - page 1 / 25 » Agendas for multi-agent learning |
82
Voted
JUCS
2008
14 years 10 months ago
2008
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
101
Voted
ICMLA
2010
14 years 8 months ago
2010
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
108
Voted
KESAMSTA
2009
Springer
15 years 2 months ago
2009
Springer
ent Artificial Immune Systems (MAAIS) for Intrusion Detection: Abstraction from Danger Theory Chung-Ming Ou, C.R. Ou Ants-like Agents: a Model and Analysis Based on Natural Ants Be...
AAAI
2006
14 years 11 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
ICMAS
1998
14 years 11 months ago
1998
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...