LeMario is a Joint-Embedding Predictive Architecture (JEPA) model trained on Super Mario Bros to learn world dynamics from pixels and actions. The model successfully passed all initial tests.

Qwen-AgentWorld utilizes language models to enhance world modeling for general agents, improving their reasoning and planning capabilities. The research focuses on developing foundational models that predict environment dynamics based on observations and actions.