# Actor-Critic Algorithms

- **Authors**: R. S. Sutton, A. G. Barto
- **Year**: 1998 (in Reinforcement Learning: An Introduction)
- **Summary**: This chapter details Actor-Critic methods in reinforcement learning. The 'Actor' learns a policy (what to do), while the 'Critic' learns a value function (how good the action was). This can be applied to memory retrieval, where the Actor decides which memory to recall and the Critic evaluates how useful that recall was for the current task, allowing the agent to learn better retrieval strategies over time.
- **Link**: http://incompleteideas.net/book/the-book-2nd.html