• Title: Reinforcement Learning
• URL: https://en.wikipedia.org/wiki/Reinforcement_learning

• Limited coverage of real-world modern applications

 (e.g. ChatGPT/LLMs trained using RLHF)

• No dedicated section on ethical concerns or limitations of RL
• The healthcare and robotics applications are mentioned

 briefly but not well sourced

• History section could be expanded with more milestones

• Source 1: Sutton & Barto "Reinforcement Learning: An Introduction"

 → Strengthen the theoretical foundations section

• Source 2: Mnih et al. (2015) – DeepMind's DQN paper (Nature)

 → Add to applications: deep RL and Atari games

• Source 3: Silver et al. (2017) – AlphaGo Zero (Nature)

 → Expand the games/AlphaGo section with unsourced details

• Source 4: Ouyang et al. (2022) – InstructGPT/RLHF paper

 → Add new subsection on RL in large language models

• Some mathematical notation sections lack inline citations

 — flag these with [citation needed]

• Trim repetitive explanation of Markov Decision Process

 already covered in linked article

• Add a clearer "Modern Applications" subsection under Applications
• Consider adding a "Limitations and Challenges" section

 covering reward hacking, sample inefficiency, and safety

• Add wikilinks to terms like "reward hacking" and

 "RLHF" where they first appear

• Fix neutral tone in any opinionated sentences
• Add a "See Also" link to Federated Learning and Deep Learning