In multi-agent reinforcement learning, lifelong learning can be used to improve coordination and adaptability in dynamic environments. For example, in the game of Hanabi, agents can use lifelong learning techniques to continuously adapt their strategies and better coordinate with other agents, leading to improved performance over time.