Dizon-Paradis, O. P, Wormald S. E., Capecci, D. E., Bhandarkar A., and Woodard, D. L. (2024). Resource usage evaluation of discrete model-free deep reinforcement learning algorithms. Reinforcement Learning Journal, ISBN 979-8-218-41163-3, 2024. Accepted.
Wormald et al., “Integrated Computational Materials Engineering to Predict Dimensions for Steady-State and Transient Melt-Pool Formation in the Selective Laser Melting of Inconel 625.”
Conference Presentations
“Resource Usage Evaluation of Discrete Model-Free Deep Reinforcement Learning Algorithms,” Reinforcement Learning Conference, Amherst, MA, United States, August 2024
“Transition to Application for Feature-specific Additive Manufacturing Parameter Prediction to Reduce Defects in the As-built Material,” ASTM, ICAM International Conference on AM, November 2021.
Informally Published
Under Review: Wormald, S., Maldaner, M. K., O'Connor, K. D., Dizon-Paradis, O. P., & Woodard, D. L. (2024). eXpLogic: Explaining Logic Types and Patterns in DiffLogic Networks. International Conference of Information Technology. (DOI Pending)
Preprint: Wormald, S., Maldaner, M. K., O'Connor, K. D., Dizon-Paradis, O. P., & Woodard, D. L. (2024). Abstracting General Syntax for XAI after Decomposing Explanation Sub Components. http://dx.doi.org/10.21203/rs.3.rs-4824427/v1
Preprint: Dizon-Paradis, O. P., Wormald, S. E., Zhu, M., Wilson, R., & Woodard, D. L. (2024). LfRLD: Learning from Reinforcement Learning Demonstrations. Authorea Preprints. https://doi.org/10.36227/techrxiv.172927301.18452996/v1
