Baylor University, Department of Electrical and Computer Engineering
Course Examples in TensorFlow and PyTorch:
- ML_Examples: Linear Regression, Logistic Regression, Neural Networks
- CNN_Examples: Convolutional Neural Networks
- RNN_Examples: Recurrent Neural Networks
- DRL_Examples: Deep Reinforcement Learning
- GAN_Examples: Generative Adversarial Networks
A fresh suite of PyTorch demos for the Deep RL lecture has been added to
DRL_Examples/ — ten self-contained scripts covering
DQN, Double DQN, Dueling DQN, PER-DQN, REINFORCE, A2C, PPO, DDPG, TD3,
and SAC. Each demo trains silently and pops up a live pygame window
for periodic class visualizations (baseline → checkpoints → final
showcase). See
DRL_Examples/README_DRL_Examples.md
for the full description and suggested classroom order.