Before revision: Exploration in reinforcement learning is a challenging problem: in the worst case, the agent must search for reward states that could be hidden anywhere in the state space.
After revision: Exploration in reinforcement learning is a challenging problem: in the worst case, the agent must search for high-reward states that could be hidden anywhere in the state space.