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A Bioinspired Hierarchical Reinforcement Learning Architecture for Modeling Learning of Multiple Skills with Continuous States and Actions.
Daniele Caligiore
Marco Mirolli
Domenico Parisi
Gianluca Baldassarre
Published in:
EpiRob (2010)
Keyphrases
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hierarchical reinforcement learning
learning algorithm
reinforcement learning
state abstraction
search algorithm
supervised learning
markov decision processes
situation calculus
decision theoretic
dynamic bayesian networks
partially observable
action sequences