What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Neural Networks - Special issue on organisation of computation in brain-like systems
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Mobile Robot Miniaturisation: A Tool for Investigation in Control Algorithms
The 3rd International Symposium on Experimental Robotics III
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems
IEEE Transactions on Evolutionary Computation
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Researchers in the new field of "developmental robotics" propose to provide robots with so-called developmental programs. Similar to the development of human infants, robots might use those programs to interact with humans and their environment for extended periods of time, and become smarter autonomously, In this paper we show how a neural network model developed by neuroscientists can be used by an autonomous robot to learn by trial-and-error when considering rewards delivered at arbitrary times, as would be the case of developmental robots interacting with humans in the real world.