Venue: arXiv
Year: 2023
Paper: https://arxiv.org/abs/2301.01379
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.