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Found 4 papers, 2 papers with code
Adversarial Imitation Learning via Boosting
In the weighted replay buffer, the contribution of the data from older policies are properly discounted with the weight computed based on the boosting framework.
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies
Oftentimes, the confounders are unobserved, but we have access to large amounts of additional unstructured data (images, text) that contain valuable proxy signal about the missing confounders.
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Instead, the learner is presented with a static offline dataset of state-action-next state transition triples from a potentially less proficient behavior policy.
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.
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