Download Reinforcement Learning with Python: A Short Overview of Reinforcement Learning with Python AudioBook Free
Reinforcement Learning with Python Reinforcement learning is one of those data science domains which will definitely shape the globe. The changes are already visible since we have self-driving vehicles, robots plus much more we used to see only in a few futuristic movies. Reinforcement learning is a trusted machine learning technique, a computational approach as it pertains to the various software real estate agents which are trying to maximize the total amount of possible rewards they receive while interacting with some uncertain as well as highly complex environments. This reserve is split into seven chapters where you'll get to reinforcement techniques and strategy better. The first chapters will expose you to the main principle laying being reinforcement learning techniques. Further, you will see the actual difference between reinforcement learning and other machine learning techniques is. The reserve also provides some of the basic solution methods as it pertains to the Markov decision processes, dynamic encoding, Monte Carlo methods and temporal difference learning. What you will learn in this reserve:
- Types of fundamental machine learning algorithms in comparison to reinforcement learning
- Essentials of reinforcement learning process
- Marko decision processes and basic guidelines
- How to combine reinforcement learning algorithm using OpenAI Gym
- How to combine Monte Carlo options for prediction
- Monte Carlo tree search
- Dynamic encoding in Python for insurance plan evaluation, insurance plan iteration and value iteration
- Temporal difference learning or TD
- And much, a lot more....
