airl

Airl is a lowercase term that can function as an acronym, abbreviation, or identifier in different contexts. There is no single, universally accepted definition of airl, and its meaning depends on domain, capitalization, and surrounding terminology.

In artificial intelligence and reinforcement learning, AIRL (typically written in uppercase as AIRL) denotes Adversarial Inverse Reinforcement Learning. AIRL describes a family of methods that aim to recover a reward function from expert demonstrations through adversarial training. The approach uses a discriminator to distinguish expert trajectories from those generated by the current policy, while the reward model is learned so that the policy imitates the expert behavior. Compared with earlier imitation-learning methods, AIRL seeks to produce rewards that generalize across modest changes in environment dynamics, enabling transfer of learned behavior to new but related tasks.

Outside AI and machine learning, airl may appear as a project name, a code, or part of a longer acronym. Because it is case-dependent and not tied to a single standard, determining its meaning requires examining contextual clues such as domain, capitalization, and accompanying terms.

See also Generative Adversarial Imitation Learning and Adversarial Inverse Reinforcement Learning.