Kevin Shen

Multi-world Model in Continual Reinforcement Learning

World Models are made of generative networks that can predict future states of a single environment which it was trained on. This research proposes a Multi-world Model, a foundational model built from World Models for the field of continual reinforcement learning that is trained on many different en…