Reward Is Enough ( Machine Learning Research Paper Explained)

, reinforcementlearning, deepmind, agi What s the most promising path to creating Artificial General Intelligence (AGI) This paper makes the bold claim that a learning agent maximizing its reward in a sufficiently complex environment will necessarily develop intelligence as a byproduct, and that Reward Maximization is the best way to move the creation of AGI forward. The paper is a mix of philosophy, engineering, and futurism, and raises many points of discussion. OUTLINE: 0:00 Intro Outline 4:10 Reward Maximization 10:10 The RewardisEnough Hypothesis 13:15 Abilities associated with intelligence 16:40 My Criticism 26:15 Reward Maximization through Reinforcement Learning 31:30 Discussion, Conclusion My Comments Paper: Abstract: In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of re