Reinforcement Learning Course: Intro to Advanced Actor Critic Methods

Reinforcement Learning Course: Intro to Advanced Actor Critic Methods
Actor critic methods are used in machine learning. They are most useful for applications in robotics as they allow us to output continuous, rather than discrete actions. This enables control of electric motors to actuate movement in robotic systems, at the expense of increased computational complexity.

Actor critic methods are used in machine learning. They are most useful for applications in robotics as they allow us to output continuous, rather than discrete actions. This enables control of electric motors to actuate movement in robotic systems, at the expense of increased computational complexity.

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:04:03) Actor Critic (TF2)
⌨️ (0:44:50) DDPG (TF2)
⌨️ (1:52:36) TD3 (TF2)
⌨️ (3:08:29) PPO (PyTorch)
⌨️ (4:03:16) SAC (TF2)
⌨️ (5:09:28) A3C (PyTorch)

⭐️ Software requirements ⭐️
Python 3.x
box2d-py 2.3.8
gym 0.15.4
matplotlib 3.1.1
numpy 1.18.1
pybullet 2.8.5
torch 1.4.0
tensorflow-gpu 2.3.1

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