Deep Learning Project

For more information, you can check this Repository in my Github.

This is a deep reinforcement learning project that I worked with a group of 5 people. We implemented Openai Gym’s Lunar Lander-v2, which aims to teach the agent to land a spacecraft on the moon using techniques. The project utilizes Python as the primary programming language and several libraries such as TensorFlow and NumPy.

My role was collaborate with another to designed a deep neural network using TensorFlow, with multiple layers of convolutional and dense layers to enable the agent to learn features and patterns from the environment. This project offers a great opportunity to gain hands-on experience in deep learning, reinforcement learning and develop an understanding of how machine learning algorithms can solve complex real-world problems.

In this project, we

• Compared the Q-learning algorithm with the AC algorithm
• Introduced the A2C algorithm
• Implemented the A2C algorithm and finish deep learning training.

The following figure shows the training process in the console:

This following gif is from OpenAI Gym, can on behalf of my project