Ryan Wickman

According to our database, Ryan Wickman authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Abstract Operations Research Modeling Using Natural Language Inputs.

Junxuan Li, Ryan Wickman, Sahil Bhatnagar, Raj Kumar Maity, Arko Mukherjee

Inf., 2025

Speciated Unsupervised Skill Discovery.

Ryan Wickman, Xiaofei Zhang

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

NL2OR: Solve Complex Operations Research Problems Using Natural Language Inputs.

Junxuan Li, Ryan Wickman, Sahil Bhatnagar, Raj Kumar Maity, Arko Mukherjee

CoRR, 2024

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Efficient Quality-Diversity Optimization through Diverse Quality Species.

Ryan Wickman, Bibek Poudel, Michael Villarreal, Xiaofei Zhang, Weizi Li

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

VLS: A Reinforcement Learning-Based Value Lookahead Strategy for Multi-product Order Fulfillment.

Ryan Wickman, Junxuan Li, Xiaofei Zhang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

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

SparRL: Graph Sparsification via Deep Reinforcement Learning.

Ryan Wickman

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Generic Graph Sparsification Framework using Deep Reinforcement Learning.

Ryan Wickman, Xiaofei Zhang, Weizi Li

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

SparRL: Graph Sparsification via Deep Reinforcement Learning.

Ryan Wickman, Xiaofei Zhang, Weizi Li

CoRR, 2021