Open-ended learning processes that co-evolve agents and their environments resulted in human intelligence, but producing such a system, which generates endless, meaningful novelty, remains an open problem in AI research. We hope our workshop provides a forum both for bridging knowledge across a diverse set of relevant fields as well as sparking new insights that can enable agent learning in open-endedness.