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可解释的强化学习的理论和算法基础，用于智能计算和建模马里兰州大学公园Haizhahao yang hzyang@umd.edu yannis kevrekidis dso深度学习，以发现最佳，可融合的无机多孔材料， Decentralized Sequential Decision Making in the Data-Limited Regime: A Self-Supervised Pretrained Foundation Model Approach Ohio State University Jia (Kevin) Liu liu.1736@osu.edu Alvaro Velasquez I2O Decentralized Online Parameter- Efficient Fine-Tuning of Compressed Models Cornell University Christopher De Sa cmd353@cornell.edu Alvaro Velasquez i2o
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