A Succinct Summary of Reinforcement Learning

TL;DR

This paper provides a concise overview of key results in single-agent reinforcement learning, aimed at readers with prior RL knowledge seeking a quick review of important concepts.

Contribution

It offers a succinct summary of foundational and recent results in reinforcement learning for an informed audience.

Findings

Summarizes core RL concepts and results

Highlights recent advances in RL theory

Serves as a reference for RL practitioners

Abstract

This document is a concise summary of many key results in single-agent reinforcement learning (RL). The intended audience are those who already have some familiarity with RL and are looking to review, reference and/or remind themselves of important ideas in the field.