The Reinforcement Learning Workshop Learn How To Apply Cutting-edge Reinforcemen - Alessandro Palmas

Start With The Basics Of Reinforcement Learning And Explore Deep Learning Concepts Such As Deep Q-learning, Deep Recurrent Q-networks, And Policy-based Methods With This Practical Guide Key Features Use Tensorflow To Write Reinforcement Learning Agents For Performing Challenging Tasks Learn How To Solve Finite Markov Decision Problems Train Models To Understand Popular Video Games Like Breakout Book Description Various Intelligent Applications Such As Video Games, Inventory Management Software, Warehouse Robots, And Translation Tools Use Reinforcement Learning (rl) To Make Decisions And Perform Actions That Maximize The Probability Of The Desired Outcome. This Book Will Help You To Get To Grips With The Techniques And The Algorithms For Implementing Rl In Your Machine Learning Models. Starting With An Introduction To Rl, Yoursquo;ll Be Guided Through Different Rl Environments And Frameworks.