Search Results for author:
Found 2 papers, 1 papers with code
Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks
This paper aims to make this process easier by employing an evolutionary algorithm that evolves suitable synaptic plasticity rules for the task at hand.
Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs
In light of this, we want to mimic flying insects in terms of their processing capabilities, and consequently show the efficiency of this approach in the real world.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
