TED-Ed: How to get better at video games, according to babies | Brian Christian

The video discusses the development of Deep Q Networks (DQN) by AI researchers to master Atari games. While DQN excelled in many games, it struggled with Montezuma's Revenge due to its complexity. The solution involved incorporating novelty-based rewards, inspired by infant behavior, to encourage exploration. This approach allowed DQN to progress significantly in the game. However, novelty-based systems can face challenges, such as losing motivation or becoming paralyzed by constant novelty. The video highlights the interplay between AI and human intelligence research, offering insights into learning, curiosity, and creativity.

What was the outcome when the AI was motivated by novelty instead of just game points?

In what ways can AI research benefit from insights into human intelligence?