Conference Papers
Samuel Neumann, Jiamin He, Adam White, and Martha White. Investigating the Utility of Mirror Descent in Off-policy Actor-Critic. The Reinforcement Learning Journal. 2025.
Laura Petrich*, Samuel Neumann*, Patrick Pilarski, and Alona Fyshe. Neural Network Sparsity in Brain-Body-Machine Interfaces. International Conference on Rehabilitation Robotics. 2025.
Andrew Patterson, Samuel Neumann, Martha White, and Adam White. Empirical Design in Reinforcement Learning. Journal of Machine Learning Research. 2024.
Scott M. Jordan*, Samuel Neumann*, James E. Kostas, Adam White, and Philip S. Thomas. The Cliff of Overcommitment with Policy Gradient Step Sizes. The Reinforcement Learning Journal. 2024.
Andrew Patterson, Samuel Neumann, Raksha Kumaraswamy, Martha White, and Adam White. Cross-environment Hyperparameter Tuning for Reinforcement Learning. The Reinforcement Learning Journal. 2024.
Samuel Neumann, Sungsu Lim, Ajin Joseph, Yangchen Pan, Adam White, and Martha White. Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. International Conference on Learning Representations. 2023.
Samuel Neumann and Mohamad El-Hajj. An Association Analysis of Breast Cancer with Carotenoids. International Conference on Bioinformatics and Computational Biology. 2023.
Cory Efird, Samuel Neumann, Kevin G. Solar, Christian Beaulieu, and Dana Cobzas. Hippocampus Segmentation on High Resolution Diffusion MRI. International Symposium on Biomedical Imaging. 2021.
* Equal Contribution
Theses
Master of Science: Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement