Amirreza Kazemi — accepted AI-conference papers

2024

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

AAAI 2024technical

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. However the existing methods mostly consider the scenar…

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2023

Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees

Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad Harikandeh, Nicolas Le Roux

NeurIPS 2023poster

Actor-critic (AC) methods are widely used in reinforcement learning (RL), and benefit from the flexibility of using any policy gradient method as the actor and value-based method as the critic. The critic is usually trained by minimizing the TD error, an objective that is potentially decorrelated wi…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗