teaching

ECE 239AS

Deep Learning 2 (Spring 2024)

I was a TA for ECE 239AS, Deep Learning 2, at UCLA. The course was taught by Professor Johnathan Kao. The course covered advanced topics in deep learning, including generative models, reinforcement learning, and unsupervised learning. I created from scratch two deep Reinforcement Learning (RL) projects in python for the course. The first was to implement a DQN agent to drive a racecar in a 2D environment. The second was to implement a DDPG agent to balance a inverted pendulum and double inversed pendulum.