#
Additional Readings

These are optional readings if you want to go deeper.

##
PPO Explained

- Towards Delivering a Coherent Self-Contained Explanation of Proximal Policy Optimization by Daniel Bick
- What is the way to understand Proximal Policy Optimization Algorithm in RL?
- Foundations of Deep RL Series, L4 TRPO and PPO by Pieter Abbeel
- OpenAI PPO Blogpost
- Spinning Up RL PPO
- Paper Proximal Policy Optimization Algorithms

##
PPO Implementation details

- The 37 Implementation Details of Proximal Policy Optimization
- Part 1 of 3 — Proximal Policy Optimization Implementation: 11 Core Implementation Details

##
Importance Sampling

- Importance Sampling Explained

< > Update on GitHub