Reinforcement learning methods often struggle to learn complex behaviors due to the exploration-exploitation dilemma. A novel method called "Penalize with Slots" introduces a solution by introducing a penalty mechanism based on a set of slots. These slots represent important aspects of the learner's behavior, and the agent is penalized when its act