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Better exploration with parameter noise
OpenAI publishes findings that adding adaptive parameter noise to reinforcement learning algorithms frequently boosts exploration performance with minimal downside risk.
We’ve found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently boosts performance.
This exploration method is simple to implement and very rarely decreases performance, so it’s worth trying on any problem.
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