{"title":"Nimish Sanghi","description":null,"products":[{"product_id":"deep-reinforcement-learning-with-python-book-nimish-sanghi-9781484268087","title":"Deep Reinforcement Learning with Python","description":"Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise. You'll begin by reviewing the Markov decision processes, Bellman equations, and dynamic programming that form the core concepts and foundation of deep reinforcement learning. Next, you'll study model-free learning followed by function approximation using neural networks and deep learning. This is followed by various deep reinforcement learning algorithms such as deep q-networks, various flavors of actor-critic methods, and other policy-based methods.  You'll also look at exploration vs exploitation dilemma, a key consideration in reinforcement learning algorithms, along with Monte Carlo tree search (MCTS), which played a key role inthe success of AlphaGo. The final chapters conclude with deep reinforcement learning implementation using popular deep learning frameworks such as TensorFlow and PyTorch. In the end, you'll understand deep reinforcement learning along with deep q networks and policy gradient models implementation with TensorFlow, PyTorch, and Open AI Gym. What You'll Learn  Examine deep reinforcement learning  Implement deep learning algorithms using OpenAI’s Gym environment Code your own game playing agents for Atari using actor-critic algorithms Apply best practices for model building and algorithm training   Who This Book Is For  Machine learning developers and architects who want to stay ahead of the curve in the field of AI and deep learning.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":50995782025489,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50995782287633,"sku":"GOR012541057","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1484268083.jpg?v=1751339096"},{"product_id":"deep-reinforcement-learning-with-python-book-nimish-sanghi-9798868802720","title":"Deep Reinforcement Learning with Python","description":"Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL).  This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field.   New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities.  You'll also review the steps for using the code on multiple cloud systems and deploying models on platforms such as Hugging Face Hub. The code is in Jupyter Notebook, which canbe run on Google Colab, and other similar deep learning cloud platforms, allowing you to tailor the code to your own needs.   Whether it’s for applications in gaming, robotics, or Generative AI, Deep Reinforcement Learning with Python will help keep you ahead of the curve.   What You'll Learn     Explore      Python-based RL libraries, including StableBaselines3 and CleanRL   Work with diverse RL environments like Gymnasium, Pybullet, and Unity ML Understand instruction finetuning of Large Language Models using RLHF and PPO Study training and optimization techniques using HuggingFace, Weights and Biases,      and Optuna        Who This Book Is For  Software engineers and machine learning developers eager to sharpen their understanding of deep RL and acquire practical skills in implementing RL algorithms fromscratch.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":53637823824145,"sku":"NLS9798868802720","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9798868802720.jpg?v=1781005881"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-nimish-sanghi.oembed","provider":"World of Books ","version":"1.0","type":"link"}