Lifelong Agents: Learning, Aligning, Evolving

Artificial intelligence has reached a pivotal stage: while current agentic systems excel in static benchmarks, they struggle to adapt to dynamic, real-world environments. This workshop introduces the concept of lifelong agents, AI systems that continuously learn, align, and evolve across their operational lifespan. Such agents must integrate continual learning, long-term alignment with human values, and self-improvement under resource constraints to remain robust, trustworthy, and sustainable. By uniting research from reinforcement learning, large language models, alignment, embodied AI and more, the workshop seeks to establish shared principles, frameworks, and evaluation methods for creating AI that grows intelligently and responsibly over time.