Researchers at OpenAI have discovered that adding adaptive noise to the parameters of reinforcement learning algorithms can improve performance. This technique, called parameter noise, is easy to implement and only occasionally worsens performance. It's a simple yet effective method for boosting exploration in complex problems. --- Why it matters: This matters because it provides AI engineers with a new tool to enhance the exploration capabilities of their models, potentially leading to better results in tasks such as game playing or robotics. Source: https://openai.com/index/better-exploration-with-parameter-noise