Menghan Xu
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  • Submodular Functions: Theory, Exact Minimization, and Approximate Maximization

    An exploration of submodular optimization: from Lovász extension and exact minimization to randomized greedy algorithms for NP-hard maximization problems.

    45 min read   ·   December 18, 2025

    2025   ·   math   optimization   algorithms   submodularity   ·   theoretical-CS

  • Presentation: Decision Transformer: RL via Sequence Modeling

    Slides for my presentation on casting reinforcement learning as a sequence modeling problem using Transformers. A video of my presentation is also available on youtube.

    15 min read   ·   November 04, 2025

    2025   ·   reinforcement-learning   transformers   offline-rl   sequence-modeling   ·   machine-learning

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