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Found 2 papers, 2 papers with code
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Individual treatment effect (ITE) estimation requires adjusting for the covariate shift between populations with different treatments, and deep representation learning has shown great promise in learning a balanced representation of covariates.
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
Instantiating the generic algorithm results in an actor that involves maximizing a sequence of surrogate functions (similar to TRPO, PPO) and a critic that involves minimizing a closely connected objective.
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