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20172024
most citedStochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

8 citations · 21 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 1 cited

Improving Offline RL by Blending Heuristics

Sinong Geng, Aldo Pacchiano, Andrey Kolobov +1

We propose Heuristic Blending (HUBL), a simple performance-improving technique for a broad class of offline RL algorithms based on value bootstrapping. HUBL modifies the Bellman op…

cs.LG2023

A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models

Sinong Geng, Houssam Nassif, Carlos A. Manzanares

We study dynamic discrete choice models, where a commonly studied problem involves estimating parameters of agent reward functions (also known as "structural" parameters), using ag…