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AAMAS
2006
Springer
15 years 7 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
ATAL
2005
Springer
16 years 11 days ago
Formation of cooperation structure by interaction network in directed multi-agent
A directed agent implies an agent with high constraints in both recognition and motion. Because of the embodied restrictions, the directed agent perceives a sense of subjective di...
Kosuke Sekiyama, Yukihisa Okade
CMOT
2006
124views more  CMOT 2006»
15 years 6 months ago
My agents love to conform: Norms and emotion in the micro-macro link
This contribution investigates the function of emotion in relation to norms, both in natural and artificial societies. We illustrate that unintentional behavior can be normative an...
Christian von Scheve, Daniel Moldt, Julia Fix, Rol...
ATAL
2007
Springer
16 years 1 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
IAT
2003
IEEE
16 years 3 days ago
Integrating Reinforcement Learning, Bidding and Genetic Algorithms
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Dehu Qi, Ron Sun