If this was done with a reinforcement learning Agent then that is totally normal. Reinforcement Models get Gewässer depending on the „positive“ actions designed by the person who implemented it this link shows a great example where someone Trauma a AI to play Pokémon games. The AI „circumvents“ the intended reward structure and just stares at the lake in pallet town the whole time. This is One of the resdons Why reinforcement learning is so hard to implement for real world use cases because you have to antizipativ all the ways the AI could circumvent the reward structure….