The Power of Data in Reinforcement Learning for Robotics

This chapter explores how data plays a crucial role in the effectiveness of machine learning algorithms, particularly in applications like self-driving cars and autonomous military vehicles. It discusses the significance of larger and more representative data sets, the challenges in data collection and storage, and the potential biases in training data affecting machine learning outcomes.