Really cool work. It seems like some critical areas (team rocket, safari zone) rely on encoding game knowledge into the reward function somehow, which "smuggles in" external intelligence about the game. A lot of these are related to planning, which makes me wonder whether you could "bolt on" an LLM to do things like steer the RL agent, dynamically choose what to reward, or even do some of the planning itself. Do you think there's any low-hanging fruit on this front?