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/ Introduction to Reinforcement Learning Using OpenAI Gym Environment
Introduction to Reinforcement Learning Using OpenAI Gym Environment
Description
Course Curriculum
Module: 1 Reinforcement Learning with OpenAI Gym – Tutorial Introduction (Part 1)
Reinforcement Learning with OpenAI Gym – Tutorial Introduction (Part 1)
00:00
Module: 2 Reinforcement Learning Using OpenAI Gym – Hands-On Tutorial (Part 2)
Reinforcement Learning Using OpenAI Gym – Hands-On Tutorial (Part 2)
00:00
Module: 3 Reinforcement Learning in OpenAI Gym – Q-Learning Implementation (Part 3)
Reinforcement Learning in OpenAI Gym – Q-Learning Implementation (Part 3)
00:00
Module: 4 Reinforcement Learning in OpenAI Gym – Monte Carlo Control with No Exploring Starts
Reinforcement Learning in OpenAI Gym – Monte Carlo Control with No Exploring Starts
00:00
Module: 5 Reinforcement Learning in OpenAI Gym – Off-Policy Monte Carlo Control Explained
Reinforcement Learning in OpenAI Gym – Off-Policy Monte Carlo Control Explained
00:00
Module: 6 Reinforcement Learning in OpenAI Gym – SARSA Algorithm Tutorial
Reinforcement Learning in OpenAI Gym – SARSA Algorithm Tutorial
00:00
Module: 7 Reinforcement Learning in OpenAI Gym – Double Q-Learning Explained
Reinforcement Learning in OpenAI Gym – Double Q-Learning Explained
00:00
Module: 8 Implementing SARSA from Scratch Using Only NumPy
Implementing SARSA from Scratch Using Only NumPy
00:00
Module: 9 Q-Learning with Pure NumPy – Solving the Mountain Car Environment (Tutorial)
Q-Learning with Pure NumPy – Solving the Mountain Car Environment (Tutorial)
00:00
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