Reinforcement Learning: An Overview

Kevin Murphy

Reinforcement Learning: An Overview

Artificial Intelligence 2025-12-03 v5 Machine Learning

Authors: Kevin Murphy

Abstract

This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based methods, policy-based methods, model-based methods, multi-agent RL, LLMs and RL, and various other topics (e.g., offline RL, hierarchical RL, intrinsic reward). It also includes some code snippets for training LLMs with RL.

Keywords

reinforcement learning hierarchical reinforcement learning reinforcement learning from human feedback

Cite

@article{arxiv.2412.05265,
  title  = {Reinforcement Learning: An Overview},
  author = {Kevin Murphy},
  journal= {arXiv preprint arXiv:2412.05265},
  year   = {2025}
}

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