Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks

(AAAI submission)

Arxiv Link: https://arxiv.org/abs/1809.04423

“Inspired by the structure of the nervous system of the soil-worm, C. , we introduce Neuronal Circuit Policies (NCPs) as a novel, a recurrent neural network instance with liquid time-constants, universal approximation capabilities and interpretable dynamics.”

This theoretically shows that neuronal circuit policies (an inspired by the nervous system of a soil-worm) perform as good as deep neural network policies with the advantage of realizing interpretable dynamics (basically means internal workings of the system).

They have open-sourced their code:

https://github.com/mlech26l/neuronal_circuit_policies



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