[ Archived Post ] Reinforcement Learning: A Survey – Jae Duk Seo – Medium

This paper overview of RL even covers the history, a good summary of a different area of studies. RL has a long history relates to statistic, computer science, and neuroscience. RL agent learns via trial and error it gathers the training data on its own. The standard RL model an agent that learns uses dynamic programming and statistic Not yet clear which method is better overall. For each time stamp, the agent receives some env, reward and more over time optimize the amount of reward it gets over one period.