Learn Deep Reinforcement Learning Fast

Learn Deep Reinforcement Learning Fast, available at $49.99, has an average rating of 3.9, with 30 lectures, 9 quizzes, based on 5 reviews, and has 20 subscribers.

You will learn about Core concepts of Reinforcement Learning like environment, action, cumulative reward maximization, etc. Case studies of Reinforcement Learning applications in the industry When to apply Reinforcement Learning and when not to The OpenAI Gym environment API How to control agents inside OpenAI Gym environments How to use Ray RLlib to solve various learning tasks using popular algorithms PPO, DQN, TD3, SAC, etc. How to visualize the agent's learning behavior in Tensorboard (useful for troubleshooting) How to save and use the trained agent How to pick the right Deep RL algorithm for a given problem This course is ideal for individuals who are Data Scientists and Machine learning engineers who want to learn the basics of Deep Reinforcement Learning and get familiar with a production-grade Deep RL framework within a short time frame or Technical managers who want to know how Deep RL is applied in the industry and have an overview of the standard Deep RL toolchain or Students in a university-level Machine Learning curriculum, who want a hands-on, practical introduction to Deep Reinforcement Learning It is particularly useful for Data Scientists and Machine learning engineers who want to learn the basics of Deep Reinforcement Learning and get familiar with a production-grade Deep RL framework within a short time frame or Technical managers who want to know how Deep RL is applied in the industry and have an overview of the standard Deep RL toolchain or Students in a university-level Machine Learning curriculum, who want a hands-on, practical introduction to Deep Reinforcement Learning.

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Summary

Title: Learn Deep Reinforcement Learning Fast

Price: $49.99

Average Rating: 3.9

Number of Lectures: 30

Number of Quizzes: 9

Number of Published Lectures: 30

Number of Published Quizzes: 9

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

• Core concepts of Reinforcement Learning like environment, action, cumulative reward maximization, etc.
• Case studies of Reinforcement Learning applications in the industry
• When to apply Reinforcement Learning and when not to
• The OpenAI Gym environment API
• How to control agents inside OpenAI Gym environments
• How to use Ray RLlib to solve various learning tasks using popular algorithms PPO, DQN, TD3, SAC, etc.
• How to visualize the agent's learning behavior in Tensorboard (useful for troubleshooting)
• How to save and use the trained agent
• How to pick the right Deep RL algorithm for a given problem

Who Should Attend

• Data Scientists and Machine learning engineers who want to learn the basics of Deep Reinforcement Learning and get familiar with a production-grade Deep RL framework within a short time frame
• Technical managers who want to know how Deep RL is applied in the industry and have an overview of the standard Deep RL toolchain
• Students in a university-level Machine Learning curriculum, who want a hands-on, practical introduction to Deep Reinforcement Learning

Target Audiences

• Data Scientists and Machine learning engineers who want to learn the basics of Deep Reinforcement Learning and get familiar with a production-grade Deep RL framework within a short time frame
• Technical managers who want to know how Deep RL is applied in the industry and have an overview of the standard Deep RL toolchain
• Students in a university-level Machine Learning curriculum, who want a hands-on, practical introduction to Deep Reinforcement Learning