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Found 3 papers, 1 papers with code
Maximum Entropy Multi-Task Inverse RL
The learner aims to learn the multiple reward functions that guide these ways of solving the problem.
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
By categorically surveying the current literature in IRL, this article serves as a reference for researchers and practitioners of machine learning and beyond to understand the challenges of IRL and select the approaches best suited for the problem on hand.
A Framework and Method for Online Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) is the problem of learning the preferences of an agent from the observations of its behavior on a task.
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