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» Stigmergy in Multi Agent Reinforcement Learning
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AIIDE
2006
13 years 6 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
ECAI
2010
Springer
13 years 6 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ICARCV
2006
IEEE
133views Robotics» more  ICARCV 2006»
13 years 11 months ago
Multi-Agent Reinforcement Learning: A Survey
Lucian Busoniu, Robert Babuska, Bart De Schutter
IJCAI
2001
13 years 6 months ago
Multi-Agent Systems by Incremental Gradient Reinforcement Learning
Alain Dutech, Olivier Buffet, François Char...