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» Multi-agent learning for engineers
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ICMLA
2010
13 years 3 months ago
Multi-Agent Inverse Reinforcement Learning
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...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
CLEIEJ
2004
94views more  CLEIEJ 2004»
13 years 5 months ago
An ontology-based technique for the specification of domain and user models in multi-agent domain
Because of its facilities for the generalization and specialization of concepts and the unambiguous terminology they provide, ontologies are being used for the representation of re...
Rosario Girardi, Carla Gomes de Faria
KESAMSTA
2009
Springer
13 years 10 months ago
Structural Changes in an Email-Based Social Network
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...
Krzysztof Juszczyszyn, Katarzyna Musial
AAAI
2006
13 years 7 months ago
Distributed Interactive Learning in Multi-Agent Systems
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 ...
Jian Huang, Adrian R. Pearce
COMPSAC
2002
IEEE
13 years 10 months ago
MADSS: A Multi-Agent Based Distributed Scripting System
Jim-Min Lin, Zeng-Wei Hong, Guo-Ming Fang