Safe Exploration of State and Action Spaces in Reinforcement Learning

4 Feb 2014Javier GarciaFernando Fernandez

In this paper, we consider the important problem of safe exploration in reinforcement learning. While reinforcement learning is well-suited to domains with complex transition dynamics and high-dimensional state-action spaces, an additional challenge is posed by the need for safe and efficient exploration... (read more)

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