Reinforcement Learning Course: Intro to Advanced Actor Critic Methods


Curriculum for the course 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. 💻 Code for the algorithms covered: 🔗 Actor Critic: https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/actor_critic/tensorflow2 🔗 Deep Deterministic Policy Gradients (DDPG): https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/DDPG/tensorflow2/pendulum 🔗 Twin Delayed Deep Deterministic Policy Gradients (TD3): https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/TD3/tf2 🔗 Proximal Policy Optimization (PPO): https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/PPO/torch 🔗 Soft Actor Critic (SAC): https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/SAC/tf2 🔗 Asynchronous Advantage Actor Critic (A3C): https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/A3C/pytorch ✏️ Course from Phil Tabor. For more deep reinforcement learning tutorials check out his channel at: https://www.youtube.com/machinelearningwithphil ⭐️ 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 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 Treehouse -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

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