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parameter noise
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Better Exploration with Parameter Noise in Reinforcement Learning
OpenAI researchers found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently improves performance across tasks. The technique is described as simple to implement and rarely harmful, making it broadly applicable. This work contributes to exploration strategies in RL, a longstanding challenge in the field.