Author

Evangelos A. Theodorou

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#artificial intelligence Preprint Oct 2026

Reinforcement Learning to Accelerate Primal-Dual Hybrid Gradient for Linear Programming

Primal-dual hybrid gradient (PDHG) methods solve large-scale linear programs (LPs) using GPU-friendly matrix-vector products and projections, but their practical performance depends on coordinating algorithm parameters, acceleration, and restarts. We introduce GALLOP, which uses reinforcement learning to jointly learn...

Jinhwan Sul, Alex Oshin, Evangelos A. Theodorou · 0 citations

#machine learning Preprint Sep 2026

Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via Sampling

Power-sharpened sampling is an inference-time alternative to reinforcement-learning (RL) post-training for enhancing reasoning in large language models (LLMs). High-probability sequences are amplified under the base model without parameter updates or external rewards, avoiding the costly optimization and jagged general...

Panagiotis Theodoropoulos, Nan Jiang, Xin-Tong Duan et al. · 0 citations