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Found 2 papers, 1 papers with code
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
Instead, the learner is presented with a static offline dataset of state-action-next state triples from a potentially less proficient behavior policy.
Optimism is All You Need: Model-Based Imitation Learning From Observation Alone
This paper studies Imitation Learning from Observations alone (ILFO) where the learner is presented with expert demonstrations that only consist of states encountered by an expert (without access to actions taken by the expert).
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