pstrongIntroducing Practical Smart Agents Development using Python, PyTorch, and TensorFlowstrongpp ppstrongKEY FEATURES strongpp9679 Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.pp9679 Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.pp9679 Everything is concise, up-to-date, and visually explained with simplified mathematics.pp ppstrongDESCRIPTION strongppReinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable environment is the part of this project. There are numerous real-world applications for reinforcement learning these days, including medical, gambling, human imitation activity, and robotics.pp ppThis book introduces readers to reinforcement learning from a pragmatic point of view. The book does involve mathematics, but it does not attempt to overburden the reader, who is a beg