The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
reinforcement-learning
hierarchical-temporal-memory
intrinsic-motivation
model-based-reinforcement-learning
biologically-plausible-learning
sparse-distributed-representations
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Updated
Jun 27, 2024 - Python