Exploring Reinforcement Learning and Animal AI Olympics

This chapter delves into the potential of reinforcement learning with a focus on the role of compute power, referencing a study by DeepMind on a large meta reinforcement learning agent and the need for additional scaffolding in mimicking human learning. It discusses the Animal AI Olympics competition where agents surprised with their performance on tasks they were not trained on, highlighting questions regarding training approaches and the impact of different methods on learning outcomes.