Li, Mingxuan

6 publications

ICML 2025 Automatic Reward Shaping from Confounded Offline Data Mingxuan Li, Junzhe Zhang, Elias Bareinboim

NeurIPS 2025 Confounding Robust Deep Reinforcement Learning: A Causal Approach Mingxuan Li, Junzhe Zhang, Elias Bareinboim

ICLR 2024 Causally Aligned Curriculum Learning Mingxuan Li, Junzhe Zhang, Elias Bareinboim

NeurIPSW 2024 Discovering Multi-Layer Films for Electromagnetic Interference Shielding and Passive Cooling with Multi-Objective Active Learning Mingxuan Li, Jungtaek Kim, Paul Leu

NeurIPS 2023 Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu

AAAI 2021 Towards Sample Efficient Agents Through Algorithmic Alignment (Student Abstract) Mingxuan Li, Michael L. Littman