With Free Hands – On Reinforcement Learning with Python : Video Course, use Python, TensorFlow, NumPy, and OpenAI Gym to understand Reinforcement Learning theory. Fast-paced approach to learning about RL concepts, frameworks, and algorithms and implementing models using Reinforcement Learning. (Limited-time offer)
Book Description
Topics included: Getting started with Reinforcement Learning using OpenAI Gym • Lights, camera, action – building blocks of Reinforcement Learning • The multi-armed bandit • The contextual bandit • Dynamic programming – prediction, control, and value approximation • Markov decision processes and neural networks • Model-free prediction & control with Monte Carlo (MC) • Model-free prediction & control with Temporal Difference (TF)
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Publisher: Packt Publishing
Published: March 2018
Format(s): Online video
Course Length: 4 hours 28 minutes
File size: –
Number of pages: –
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