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LAMAS
2005
Springer
14 years 3 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
14 years 3 months ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley
CIA
2006
Springer
14 years 2 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek
AUSAI
1997
Springer
14 years 2 months ago
Generating States of Joint Commitment between Autonomous Agents
Abstract. Autonomous agents decide for themselves, on the basis of their beliefs, goals, etc., how to act in an environment. However, it is often the case that an agent is motivate...
Timothy J. Norman, Nicholas R. Jennings
ATAL
2007
Springer
14 years 4 months ago
Embedding Landmarks and Scenes in a Computational Model of Institutions
Over the last decade, institutions have demonstrated that they are a powerful mechanism to make agent interactions more effective, structured, coordinated and efficient. Different...
Owen Cliffe, Marina De Vos, Julian A. Padget