توضیحات
ارسال کتاب های زبان اصلی در بازه ۸ الی ۱۲ روزه انجام میشود.
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https://www.amazon.com/Deep-Reinforcement-Learning-Python-distributional/dp/۱۸۳۹۲۱۰۶۸۰
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eep Reinforcement Learning with Python, ۲nd Edition
by Sudharsan Ravichandiran (Author)
Key Features
Covers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithm
Learn how to implement algorithms with code by following examples with line-by-line explanations
Explore the latest RL methodologies such as DDPG, PPO, and the use of expert demonstrations
Book Description
With significant enhancements in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been revamped into an example-rich guide to learning state-of-the-art reinforcement learning (RL) and deep RL algorithms with TensorFlow ۲ and the OpenAI Gym toolkit.
In addition to exploring RL basics and foundational concepts such as Bellman equation, Markov decision processes, and dynamic programming algorithms, this second edition dives deep into the full spectrum of value-based, policy-based, and actor-critic RL methods. It explores state-of-the-art algorithms such as DQN, TRPO, PPO and ACKTR, DDPG, TD۳, and SAC in depth, demystifying the underlying math and demonstrating implementations through simple code examples.
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