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Hierarchical Reinforcement Learning

Topic: Hierarchical RL

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Multi-Level RL

Structure in RL.

Options

Temporal abstraction. Skill discovery.

Models

FeUdal networks. Option-critic.

Benefits

Sample efficiency. Transfer. Credit assignment.

Key Takeaways

  1. Options for temporal abstraction
  2. Hierarchical policies
  3. Faster learning

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