Tutorial_DDPG_training_using_RL_ADN

DDPG Training Tutorial

This tutorial provides a step-by-step guide for training DDPG (Deep Deterministic Policy Gradient) agents using the RL-ADN framework. The DDPG algorithm is a model-free, off-policy actor-critic algorithm which is particularly well-suited for environments with continuous action spaces.

Overview

The Tutorial_DDPG_training_using_RL_ADN.ipynb notebook covers the following steps:

1. Setting up the environment
2. Configuring the DDPG agent
3. Training the agent
4. Evaluating the performance