Reinforcement Learning
Here’s What We’ll Cover: Reinforcement Learning Basics of reinforcement learning: agents, environments, rewards. Q-learning, deep Q-networks (DQN), policy gradients. Applications: game playing, robotics, autonomous vehicles.
Overview
Here’s What We’ll Cover:
Reinforcement Learning
- Basics of reinforcement learning: agents, environments, rewards.
- Q-learning, deep Q-networks (DQN), policy gradients.
- Applications: game playing, robotics, autonomous vehicles.
Curriculum
Instructor
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Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes