Reinforcement learning on complex visual stimuli
© Wilbert et al; licensee BioMed Central Ltd. 2009
Published: 13 July 2009
Animals are confronted with the problem of initiating motor actions based on very complex sensory input. We have built a biologically plausible model that uses reinforcement learning on complex visual stimuli to direct an agent towards a target. This is made possible by first extracting a high-level representation of the scene with a hierarchical network and then applying a correlation based RL-learning rule.
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