Evolving Reinforcement Learning-Like Abilities for Robots

In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated tasks were generation and learning of short bit sequences. This “learning” came about without modifications of synaptic strengths, but simply from internal dynamics of the evolved networks… CONTINUE READING