Learn Deep Reinforcement Learning Fast
From basic concepts to implementation using Ray RLlib in just 4 hours
3.92 (6 reviews)
22
students
2.5 hours
content
Sep 2022
last update
$54.99
regular price
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
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3759642
udemy ID
08/01/2021
course created date
12/07/2025
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