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Reinforcement learning with a network of spiking agents
TLDR
It is shown that a network of GLM spiking agents connected in a hierarchical fashion, where each spiking agent modulates its firing policy based on local information and a global prediction error, can learn complex action representations to solve reinforcement learning (RL) tasks. Expand
Reinforcement learning with spiking coagents
TLDR
It is shown that a network of GLM spiking agents connected in a hierarchical fashion, where each spiking agent modulates its firing policy based on local information and a global prediction error, can learn complex action representations to solve reinforcement learning (RL) tasks. Expand