AI engineering glossary · Reinforcement learning
What is IRL (inverse reinforcement learning)?
Inverse reinforcement learning (also called IRL): The task of inferring which reward function an expert is likely optimising from observed behaviour. Recovering it can give a compact, transferable description of the goal, rather than only copying actions.
Inverse reinforcement learning: an example
From recorded cab drivers' routes, infer that they weigh travel time, tolls and road quality in some proportions.
Related terms
More Reinforcement learning terms
- Markov decision process
- Maximum entropy reinforcement learning
- Model predictive control
- Model-based
- Model-free
- Monte Carlo methods (reinforcement learning)
- Monte Carlo tree search
- Multi-agent reinforcement learning
Where you learn it
Inverse reinforcement learning is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.