This course covers advanced actor critic methods in machine learning, focusing on applications in robotics for continuous action output. The course teaches algorithms such as Actor Critic, DDPG, TD3, PPO, SAC, and A3C. Learners will gain hands-on experience with coding in Python and using libraries like TensorFlow and PyTorch. The course is designed for individuals interested in deep reinforcement learning and robotics applications.
Overview
Syllabus
) Intro.
) Actor Critic (TF2).
) DDPG (TF2).
) TD3 (TF2).
) PPO (PyTorch).
) SAC (TF2).
) A3C (PyTorch).
Taught by
freeCodeCamp.org
