Reinforcement Learning · advanced · concept 188 of 311 · Updated Nov 4, 2026
Inverse Reinforcement Learning
Learning the reward function from observing expert behavior, inferring WHAT the expert is optimizing, not just imitating their actions. Key for building AI that understands human preferences.
Top AI contributors on this
- Demis HassabisGoogle DeepMind (chair) / Isomorphic Labs
- Pieter AbbeelAmazon / UC Berkeley
- David SilverIneffable Intelligence / UCL
- John SchulmanThinking Machines Lab
- Sergey LevineUC Berkeley / Physical Intelligence
- Chelsea FinnStanford University / Physical Intelligence
Key terms
Reward inferenceExpert demonstrationsImitation learningIRL
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▶ RL Course by David Silver - Lecture 8: Integrating Learning and Planning ↗
Google DeepMind · YouTube
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CS 185/285 ↗
Berkeley CS285
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