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When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning.
Siliang Zeng
Chenliang Li
Alfredo Garcia
Mingyi Hong
Published in:
NeurIPS (2023)
Keyphrases
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inverse reinforcement learning
probabilistic model
model selection
complex systems
prior knowledge
monte carlo
reward function