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Notes on inverse reinforcement learning
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Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
The researchers propose a method for machine learning that focuses on aligning autonomous agents' behavior with human intent in diverse operational contexts. They argue that existing methods for inverse reinforcement…
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
The research paper proposes a method for teaching machines to learn robust reward functions that can work across various operational contexts. The study focuses on scenarios with diverse feedback modalities and…
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
The researchers introduce a machine teaching algorithm that operates across multiple MDPs (multi-agent decision making problems) to learn robust reward functions from heterogeneous feedback modalities in diverse…
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