Before revision: Model-based reinforcement learning approaches add explicit domain knowledge to agents in hopes of improving the sample-efficiency in comparison to model-free agents .
After revision: Model-based reinforcement learning approaches add explicit domain knowledge to improve the sample-efficiency in comparison to model-free agents .