Learning Reaching Strategies through Reinforcement for a Sensor-Based Manipulator.
This paper presents a neural controller that learns goal-oriented obstacle-avoiding reaction strategies for a multilink robot arm. It acquires these strategies on-line from local sensory data.Results for a two-link robot arm show that the combination of both modules speeds up the learning process.
MARTIN Mendiola Pedro;
MILLAN J.R.;
1997-11-10
JRC15475
https://publications.jrc.ec.europa.eu/repository/handle/JRC15475,
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