John McCarthy
Machine Learning
A method for learning reward functions from expert demonstrations rather than explicit rewards.
Detailed Explanation
Inverse Reinforcement Learning (IRL) is a machine learning technique where an agent infers the underlying reward function guiding expert behavior by analyzing demonstrations. Unlike traditional methods that rely on explicit rewards, IRL deduces the motivations behind actions, enabling autonomous systems to replicate complex behaviors and adapt to new situations with minimal predefined reward information.
Use Cases
- •Autonomous driving systems learn driver intents by observing expert behavior, improving safety and decision-making without predefined reward signals.
Related Terms
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