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Reinforcement Learning with Apache Singa

Overview

Skills Needed

Learn to implement reinforcement learning with Apache Singa. Explore Q-learning, policy gradients, and more. Enroll now!

  • Intermediate knowledge of Apache Singa fundamentals
  • Understanding of reinforcement learning concepts

Outline

  • Introduction to Reinforcement Learning
  • Markov Decision Processes (MDPs)
  • Q-learning and Value Iteration
  • Policy Gradient Methods
  • Deep Q-Networks (DQN)
  • Actor-Critic Algorithms
  • Model-based Reinforcement Learning
  • Multi-agent Reinforcement Learning
  • Continuous Action Spaces
  • Case Studies in Reinforcement Learning with Apache Singa
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