MARTI-4: new model of human brain, considering neocortex and basal ganglia -- learns to play Atari game by reinforcement learning on a single CPU

• URL: http://arxiv.org/abs/2209.02387v1
• Date: Thu, 18 Aug 2022 20:23:49 GMT
• Title: MARTI-4: new model of human brain, considering neocortex and basal ganglia -- learns to play Atari game by reinforcement learning on a single CPU
• Authors: Igor Pivovarov and Sergey Shumsky
• Abstract summary: We present MARTI - new model of human brain, considering neocortex and basal ganglia. We introduce a novel surprise feeling mechanism, that significantly improves reinforcement learning process through inner rewards.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present Deep Control - new ML architecture of cortico-striatal brain circuits, which use whole cortical column as a structural element, instead of a singe neuron. Based on this architecture, we present MARTI - new model of human brain, considering neocortex and basal ganglia. This model is de-signed to implement expedient behavior and is capable to learn and achieve goals in unknown environments. We introduce a novel surprise feeling mechanism, that significantly improves reinforcement learning process through inner rewards. We use OpenAI Gym environment to demonstrate MARTI learning on a single CPU just in several hours.

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