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» Hierarchical multi-agent reinforcement learning
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NIPS
2000
13 years 8 months ago
Hierarchical Memory-Based Reinforcement Learning
Natalia Hernandez-Gardiol, Sridhar Mahadevan
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
14 years 2 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
AAAI
1996
13 years 8 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard