Multi Goal Reinforcement Learning

Multi-Goal Reinforcement Learning is an advanced machine learning technique designed to enable agents to optimize multiple objective functions simultaneously, thereby achieving more flexible and efficient decision-making in complex and dynamic environments. By incorporating multi-objective optimization methods, this technology not only improves learning efficiency but also enhances the agent's generalization and adaptability, making it widely applicable in areas such as robot navigation, resource management, and game strategies, where it holds significant practical value.