Sensorimotor primitives basic library
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Updated
May 18, 2020 - Python
Sensorimotor primitives basic library
Simulated Infant Babbling
Architecture-first research framework for artificial individuals that develop through embodiment, internal regulation, perception, action, learning, and continuous experience.
Developmental scaffolds for RL: world models (the blindfold test), microtask curricula, variation practice, generational teaching, growing bodies — validated experiments + interactive visualization
A small tabular artificial learner exploring architectural conditions for developmental behaviour
Concurrent Credit Assignment for Data-efficient Reinforcement Learning
Born wired: innate cortical connectivity plus local plasticity is enough to stand, walk and look. 143,796 model cortical neurons, 308,809 inborn synapses, one local Hebbian rule, no reward, no gradient, no training loop. Code, logs, figures and data for every number in the manuscript.
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