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Cutting-Edge AI: Deep Reinforcement Learning in Python

Link :  Cutting-Edge AI: Deep Reinforcement Learning in Python
 Cutting-Edge AI: Deep Reinforcement Learning in Python
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What you'll learn. Understand a cutting-edge implementation of the A2C algorithm (OpenAI Baselines) Understand and implement Evolution Strategies (ES) for AI. Understand and implement DDPG (Deep Deterministic Policy Gradient)

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What you'll learn
  • Understand a cutting-edge implementation of the A2C algorithm (OpenAI Baselines)
  • Understand and implement Evolution Strategies (ES) for AI
  • Understand and implement DDPG (Deep Deterministic Policy Gradient)
 Description

Welcome to Cutting-Edge AI!

This is technically Deep Learning in Python part 11 of my deep learning series, and my 3rd reinforcement learning course.

Deep Reinforcement Learning is actually the combination of 2 topics: Reinforcement Learning and Deep Learning (Neural Networks).

While both of these have been around for quite some time, it’s only been recently that Deep Learning has really taken off, and along with it, Reinforcement Learning.

The maturation of deep learning has propelled advances in reinforcement learning, which has been around since the 1980s, although some aspects of it, such as the Bellman equation, have been for much longer.


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