sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
This book provides a comprehensive guide to mastering reinforcement learning (RL) and deep RL algorithms. It takes you from foundational concepts like Markov decision processes to advanced techniques such as distributional RL and inverse RL, using practical code examples with TensorFlow and OpenAI Gym. The ideal user is an individual looking to build intelligent agents capable of learning optimal behaviors in various simulated environments.
464 stars. No commits in the last 6 months.
Use this if you want to understand the mathematical foundations and practical implementations of reinforcement learning to train AI agents for tasks like game playing or robotic control.
Not ideal if you are looking for a high-level overview of AI concepts without diving into the mathematical details and coding required to build RL systems.
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Apr 01, 2021
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