👉 Guess engineering is a technique used in machine learning, particularly in reinforcement learning, where the goal is to optimize an agent's behavior by strategically manipulating its reward function or environment dynamics to encourage it to take actions that lead to desired outcomes. Instead of designing a perfect reward function, engineers create a modified version by guessing or adjusting the rewards to guide the agent towards more efficient and effective strategies. This approach helps in overcoming challenges where defining an optimal reward is difficult or impossible, allowing the agent to learn and adapt more quickly by focusing on the most promising aspects of the environment.
