Modern Reinforcement Learning: Actor-Critic Agents

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 Modern Reinforcement Learning: Actor-Critic Agents

quankiu

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What you'll learn:

  • How to code policy gradient methods in PyTorch
  • How to code Deep Deterministic Policy Gradients (DDPG) in PyTorch
  • How to code Twin Delayed Deep Deterministic Policy Gradients (TD3) in PyTorch
  • How to code actor critic algorithms in PyTorch
  • How to implement cutting edge artificial intelligence research papers in Python

Origin link: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/

Time Course: 10.5 hours (74 Lectures + Documents)

Instructor: Phil Tabor

Total Weight: 4.51 GB

 

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