Ryan Wickman

11 papers A* 2A 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Abstract Operations Research Modeling Using Natural Language Inputs.
Inf.
Junxuan Li, Ryan Wickman, Sahil Bhatnagar, Raj Kumar Maity, Arko Mukherjee
2025 A* conf
Speciated Unsupervised Skill Discovery.
ICDM
Ryan Wickman, Xiaofei Zhang
2024 A conf
AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning.
IROS
Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
2024 J jnl
NL2OR: Solve Complex Operations Research Problems Using Natural Language Inputs.
CoRR
Junxuan Li, Ryan Wickman, Sahil Bhatnagar, Raj Kumar Maity, Arko Mukherjee
2023 — conf
Efficient Quality-Diversity Optimization through Diverse Quality Species.
GECCO Companion
Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li
2023 J jnl
Efficient Quality-Diversity Optimization through Diverse Quality Species.
CoRR
Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li
2023 — conf
VLS: A Reinforcement Learning-Based Value Lookahead Strategy for Multi-product Order Fulfillment.
ADMA (2)
Ryan Wickman, Junxuan Li, Xiaofei Zhang
2022 A* conf
A Generic Graph Sparsification Framework using Deep Reinforcement Learning.
ICDM
Ryan Wickman, Xiaofei Zhang, Weizi Li
2022 J jnl
AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning.
CoRR
Michael Villarreal, Bibek Poudel, Ryan Wickman, Yu Shen, Weizi Li
2022 — conf
SparRL: Graph Sparsification via Deep Reinforcement Learning.
SIGMOD Conference
Ryan Wickman
2021 J jnl
SparRL: Graph Sparsification via Deep Reinforcement Learning.
CoRR
Ryan Wickman, Xiaofei Zhang, Weizi Li