Navigating Value Function Challenges

This chapter explores the complexities of experimenting with value function analysis, including the impact of correlation thresholds and sample sizes on data representation. The discussion also includes insights on trajectory sampling and its influence on model performance, highlighting the interplay between simulated and real-world data for optimal training.