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Liting Chen

2 accepted papers

2023

Conservative State Value Estimation for Offline Reinforcement Learning

NeurIPS 2023poster

Offline reinforcement learning faces a significant challenge of value over-estimation due to the distributional drift between the dataset and the current learned policy, leading to learning failure in practice. The common approach is to incorporate a penalty term to reward or value estimation in the…

2021

A Surrogate Objective Framework for Prediction+Programming with Soft Constraints

NeurIPS 2021poster

Prediction+optimization is a common real-world paradigm where we have to predict problem parameters before solving the optimization problem. However, the criteria by which the prediction model is trained are often inconsistent with the goal of the downstream optimization problem. Recently, decision…

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