Step-by-Step Guide to Implementing DDPG Reinforcement Learning in PyTorch

Build an intelligent Agent using DDPG, an advanced deep-learning RL algorithm.

Mountain Car-https://www.gymlibrary.dev/environments/classic_control/mountain_car/

Prerequisites

Essential elements of Reinforcement Learning

Reinforcement Learning: Temporal Difference Learning

Reinforcement Learning: Q-Learning

Deep Q Learning: A Deep Reinforcement Learning Algorithm

Unlocking the secrets of Actor-Critic Reinforcement Learning- A beginners guide

Unlock the secrets of DDPG in Reinforcement Learning

Deep Deterministic Policy Gradient(DDPG) is the model-free, off-policy deep reinforcement algorithm inspired by Deep Q-Network and is based on Actor-Critic using Policy Gradient

The key components of DDPG are

• Replay Buffer
• Actor-Critic neural network
• Exploration Noise
• Target network
• Soft Target Updates for Target Network