SparRL: Graph Sparsification via Deep Reinforcement Learning. - Ryan Wickman; Xiaofei Zhang 002; Weizi Li (CoRR, 2021)

A Generic Graph Sparsification Framework using Deep Reinforcement Learning. - Ryan Wickman; Xiaofei Zhang 002; Weizi Li (ICDM, 2022)

SparRL: Graph Sparsification via Deep Reinforcement Learning. - Ryan Wickman (SIGMOD Conference, 2022)

AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning. - Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li (CoRR, 2022)

VLS: A Reinforcement Learning-Based Value Lookahead Strategy for Multi-product Order Fulfillment. - Ryan Wickman; Junxuan Li; Xiaofei Zhang (ADMA (2), 2023)

Efficient Quality-Diversity Optimization through Diverse Quality Species. - Ryan Wickman; Bibek Poudel; Michael Villarreal; Xiaofei Zhang 002; Weizi Li (GECCO Companion, 2023)

AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning. - Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li (IROS, 2024)

NL2OR: Solve Complex Operations Research Problems Using Natural Language Inputs. - Junxuan Li; Ryan Wickman; Sahil Bhatnagar; Raj Kumar Maity; Arko Mukherjee (CoRR, 2024)