Learning Grounded Language in AI

This chapter examines how systems can learn grounded language through the association of words with environmental concepts, outlining the challenges of scaling such systems. It discusses the complexities of developing AI agents capable of understanding textual descriptions to play games, with a focus on reinforcement learning techniques. Additionally, it highlights issues like generalization in both supervised and reinforcement learning, emphasizing the need for better algorithms and benchmarks to enhance AI performance.