On-line robot learning using the interval estimation algorithm

Abstract

A lot of reinforcement learning algorithms are based on a full state space to learn from. In the RoboCup mid-size league this is impossible to do during the real games, due to the immense state space. This paper suggests a way to reduce the state space significantly by selecting among behaviors that are only triggered by few states. In fact to make the… (More)

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