Evaluating the Quality of Exploration in Reinforcement Learning: Unveiling the Episodic Exploration Efficiency (EEE) Score
In the realm of reinforcement learning (RL), the pursuit of optimal solutions hinges on the agent's ability to efficiently explore its environment. A crucial metric in evaluating the quality of exploration is the Episodic Exploration Efficiency (EEE) score. This score quantifies the percentage of episodes where the agent successfully achieves a predetermined goal, providing valuable insights into the agent's exploration prowess.
What is the Episodic Exploration Efficiency (EEE) Score?
The EEE score is a straightforward yet effective measure of exploration quality. To compute the EEE score, the agent's performance is evaluated over multiple episodes, with each episode representing a unique trial within the environment. The EEE score is then calculated as the ratio of successful episodes (where the agent achieves the goal) to the total number of episode...
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