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)
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