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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

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. Evolution strategies is a new and fresh take on reinforcement learning, that kind of throws away all the old theory in favor of a more “black box” approach, inspired by biological evolution.

Best Seller Course: Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

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)

You May Also Need This Course: YOLO v3 – Robust Deep Learning Object Detection in 1 hour

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