Example PPO implementation with ReLAx
This repository contains an implementation of proximal policy optimization (PPO) with ReLAx.
PPO actor was trained on Ant-v2 Mujoco Gym environment for 4m env-steps.
The graph of average return vs training step is shown below (batch_size=40000
):
Resulting Policy: