Open-World Reinforcement Learning over Long Short-Term Imagination

ICLR 2025 Oral Motivation Open-World RL Challenges • Agents operate in large, dynamic environments with vast state spaces • Policies must be highly flexible to interact with various objects and tasks • Agents perceive the world with uncertainty, relying on raw visual input