Learn Reinforcement Learning with books that provide hands-on and interactive examples and exercises. Review some of the best books for beginners and experts. Skip to main content LinkedIn.

Following is what you need for this book: This book is for expert machine learning practitioners and researchers looking to focus on hands-on reinforcement learning with Python by implementing ...

This is a tutorial book on reinforcement learning, with explanation of theory and Python implementation. Theory: Starting from a uniform mathematical framework, this book derives the theory and ...

This new technique for assessing classical results will allow for a more efficient reinforcement learning system. At its heart, this book is focused on providing an end-to-end framework—from design to ...

“Python Machine Learning” provides a solid background in machine learning concepts. The book covers topics like TensorFlow 2, GANs, and Reinforcement Learning and provides clear explanations, ...

Tensorforce is built on top of Google’s TensorFlow framework and is compatible with Python 3. Installation. pip3 install tensorforce. from tensorforce.agents import Agent. RL_Coach. Reinforcement ...

This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments. What you ...

Event details about Unsupervised and Reinforcement Learning with Python, Tensorflow & OpenAI in San Francisco on June 2, 2018 - watch, listen, photos and tickets. Toggle navigation.

In the ever-evolving landscape of artificial intelligence, Reinforcement Learning (RL) stands out as a prominent approach for training intelligent agents. Python, being a powerhouse for machine ...