PyTorch 1.x Reinforcement Learning Cookbook

With PyTorch 1.x Reinforcement Learning Cookbook, use PyTorch 1.x to design and build self-learning artificial intelligence (AI) models. Implement RL algorithms to solve control and optimization challenges faced by data scientists today. (Limited-time offer)

Table of Contents

• Getting Started with Reinforcement Learning and PyTorch
• Markov Decision Processes and Dynamic Programming
• Monte Carlo Methods for Making Numerical Estimations
• Temporal Difference and Q-Learning
• Solving Multi-armed Bandit Problems
• Scaling Up Learning with Function Approximation
• Deep Q-Networks in Action
• Implementing Policy Gradients and Policy Optimization
• Capstone Project – Playing Flappy Bird with DQN

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