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Modern Reinforcement Learning: Actor-Critic Agents

Dante-Montana072

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2 MONTHS
2 2 MONTHS OF SERVICE
LEVEL 1 300 XP
  • 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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