Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow
KEY FEATURES
● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.
● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.
● Everything is concise, up-to-date, and visually explained with simplified mathematics.
DESCRIPTION
Reinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable...