Simulus: Combining Improvements in Sample-Efficient World Model Agents

Lior Cohen, Kaixin Wang, Bingyi Kang +2

World models (WMs) represent the frontier of sample-efficient reinforcement learning, but their complexity leaves many promising improvements unrealized due to the significant expe…