Is Epicurus the father of Reinforcement Learning?
Eleni Vasilaki

TL;DR
This paper explores the philosophical connections between Epicurean hedonism and Reinforcement Learning, demonstrating how Epicurus's ideas relate to the RL objective function and the Bellman equation.
Contribution
It constructs an RL-like objective function from Epicurean philosophy and discusses its relation to classical philosophical views and RL concepts.
Findings
Epicurean hedonism aligns with RL objective functions
The Bellman equation has philosophical parallels in Epicurean thought
Plato and Aristotle's views are also loosely connected to RL
Abstract
The Epicurean Philosophy is commonly thought as simplistic and hedonistic. Here I discuss how this is a misconception and explore its link to Reinforcement Learning. Based on the letters of Epicurus, I construct an objective function for hedonism which turns out to be equivalent of the Reinforcement Learning objective function when omitting the discount factor. I then discuss how Plato and Aristotle 's views that can be also loosely linked to Reinforcement Learning, as well as their weaknesses in relationship to it. Finally, I emphasise the close affinity of the Epicurean views and the Bellman equation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDiverse Philosophical and Cultural Studies · Economic, financial, and policy analysis · Ancient Near East History
