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Cutting-Edge AI: Deep Reinforcement Learning in Python

Cutting-Edge AI: Deep Reinforcement Learning in Python

Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG

Created by Lazy Programmer Inc. | 8.5 hours on-demand video

This is technically Deep Learning in Python part 11, and my 3rd reinforcement learning course, which is super awesome. 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. This course is going to show you a few different ways: including the powerful A2C (Advantage Actor-Critic) algorithm, the DDPG (Deep Deterministic Policy Gradient) algorithm, and evolution strategies.

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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