Abstract
On reinforcement learning researches, even though environments have continuous state space, many RL algorithms are assumed to be on a discrete state space. Typically, most approaches which treat continuous state and action spaces, just discretise these spaces. In this paper, to treat the continuous state space, we propose a RL algorithm which based on the locally weighted regression.
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