# Additional Readings [[additional-readings]]

## Bias-variance tradeoff in Reinforcement Learning

If you want to dive deeper into the question of variance and bias tradeoff in Deep Reinforcement Learning, you can check out these two articles:

- [Making Sense of the Bias / Variance Trade-off in (Deep) Reinforcement Learning](https://blog.mlreview.com/making-sense-of-the-bias-variance-trade-off-in-deep-reinforcement-learning-79cf1e83d565)
- [Bias-variance Tradeoff in Reinforcement Learning](https://www.endtoend.ai/blog/bias-variance-tradeoff-in-reinforcement-learning/)

## Advantage Functions

- [Advantage Functions, SpinningUp RL](https://spinningup.openai.com/en/latest/spinningup/rl_intro.html?highlight=advantage%20functio#advantage-functions)

## Actor Critic

- [Foundations of Deep RL Series, L3 Policy Gradients and Advantage Estimation by Pieter Abbeel](https://www.youtube.com/watch?v=AKbX1Zvo7r8)
- [A2C Paper: Asynchronous Methods for Deep Reinforcement Learning](https://arxiv.org/abs/1602.01783v2)
