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BIRL.pdf

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Preview of BIRL
🔗 Source: ijcai.org
📊 Size: 393 KB
👤 Author: Deepak Ramachandran
⬇️ Downloads: 34

Summary

Bayesian Inverse Reinforcement Learning combines prior knowledge and evidence from an expert's actions to derive a probability distribution over the space of reward functions, allowing for efficient algorithms to find solutions for reward learning and apprenticeship learning tasks that generalize well over these distributions, with experimental results showing strong improvement over previous heuristic-based approaches.

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Description

Bayesian Inverse Reinforcement Learning combines prior knowledge and evidence from an expert's actions to derive a probability distribution over the space of...

Technical Information

  • File Format: PDF
  • File Size: 393 KB
  • Pages: 6
  • Language: EN
  • Author: Deepak Ramachandran
  • Total Downloads: 34
  • Last Updated: 4 days ago

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This PDF document about BIRL provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into BIRL.

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