IEEE - Institute of Electrical and Electronics Engineers, Inc. - Bootstrapping Q-Learning for Robotics from Neuro-Evolution Results

Author(s): Matthieu Zimmer ; Stephane Doncieux
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Paper): 2379-8920
ISSN (Online): 2379-8939
DOI: 10.1109/TCDS.2016.2628817
Regular:

Reinforcement learning problems are hard to solve in a robotics context as classical algorithms rely on discrete representations of actions and states, but in robotics both are continuous. A... View More

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