How does the concept of exploration and exploitation trade-off manifest in bandit problems, and what are some of the common strategies used to address this trade-off?
Tuesday, 11 June 2024
by EITCA Academy
The exploration-exploitation trade-off is a fundamental concept in the domain of reinforcement learning, particularly in the context of bandit problems. Bandit problems, which are a subset of reinforcement learning problems, involve a scenario where an agent must choose between multiple options (or "arms"), each with an uncertain reward. The primary challenge is to balance the