#
Additional Readings

These are optional readings if you want to go deeper.

##
Introduction to Policy Optimization

- Part 3: Intro to Policy Optimization - Spinning Up documentation

##
Policy Gradient

- https://johnwlambert.github.io/policy-gradients/
- RL - Policy Gradient Explained
- Chapter 13, Policy Gradient Methods; Reinforcement Learning, an introduction by Richard Sutton and Andrew G. Barto

##
Implementation

- PyTorch Reinforce implementation
- Implementations from DDPG to PPO

< > Update on GitHub