Understanding the impact of misspecification in inverse reinforcement learning

Reinforcement learning diagram of a Markov decision process. EBatlleP, CC BY-SA 4.0. In our recent AAAI 2023 paper, Misspecification in Inverse Reinforcement Learning (Skalse and Abate, 2023), we study the question of how robust the inverse reinforcement learning problem is to misspecification of the underlying behavioural model (namely, how the agent’s preferences relate to its […]

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