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» Valency for Adaptive Homeostatic Agents: Relating Evolution ...
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ECAL
2005
Springer
13 years 6 months ago
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning
This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...
Theodoros Damoulas, Ignasi Cos-Aguilera, Gillian M...
ATAL
2010
Springer
13 years 5 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2007
Springer
13 years 10 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone