Actor-Critic & PPO Trainer

A reinforcement learning implementation comparing Actor-Critic methods and Proximal Policy Optimization (PPO) in a controlled training environment.

🚀 Features

• Implementation of Actor-Critic algorithm
• PPO optimization pipeline
• Training loop visualization
• Reward tracking and performance evaluation

🧠 Algorithms Covered

• Actor-Critic
• Proximal Policy Optimization (PPO)

🛠 Tech Stack

• Python
• PyTorch / TensorFlow (if applicable)
• NumPy
• Jupyter Notebook

📊 Results

• Reward convergence comparison between models
• Policy stability improvements using PPO

📁 Usage

git clone https://github.com/Chege-N/Actor-Critic-Network-Proximal-Policy-Optimization-Trainer