Foundations of Deep Reinforcement Learning

This book provides an accessible introduction to deep reinforcement learning, covering both the theoretical foundations and practical implementations of popular algorithms like REINFORCE, SARSA, DQN, and PPO. It includes code examples using PyTorch and the SLM Lab library, making it ideal for computer science students and software engineers familiar with Python and basic machine learning concepts.