Optimistic Simulated Exploration as an Incentive for Real Exploration

Ivo Danihelka

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arXiv · 0903.2972

Optimistic Simulated Exploration as an Incentive for Real Exploration

Ivo Danihelka

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Abstract

Many reinforcement learning exploration techniques are overly optimistic and try to explore every state. Such exploration is impossible in environments with the unlimited number of states. I propose to use simulated exploration with an optimistic model to discover promising paths for real exploration. This reduces the needs for the real exploration.

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Ivo Danihelka. 2009-05-20. Optimistic Simulated Exploration as an Incentive for Real Exploration. https://arxiv.org/abs/0903.2972

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