Salay, R., Czarnecki, K., Alvarez, I., Elli, M. S., Sedwards, S., & Weast, J. (2020). PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML Presented at the PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety With ML conference. New York: CEUR.
Reference author: Sean Sedwards
First name
Sean
Last name
Sedwards
Gaurav, A., Vernekar, S., Lee, J., Sedwards, S., Abdelzad, V., & Czarnecki, K. (2020). Simple Continual Learning Strategies for Safer Classifers Presented at the Simple Continual Learning Strategies for Safer Classifers conference. CEUR. Retrieved from http://ceur-ws.org/Vol-2560/paper6.pdf (Original work published 2020)
Babaee, R., Ganesh, V., & Sedwards, S. (2019). Accelerated Learning of Predictive Runtime Monitors for Rare Failure Porto, Portugal: Springer.
Ilievski, M., Sedwards, S., Gaurav, A., Balakrishnan, A., Sarkar, A., Lee, J., … Czarnecki, K. (2019). Design Space of Behaviour Planning for Autonomous Driving Waterloo. Retrieved from https://arxiv.org/abs/1908.07931 (Original work published 2019)
Ernst, G., Sedwards, S., Zhang, Z., & Hasuo, I. (2019). Fast Falsification of Hybrid Systems using Probabilistically Adaptive Input Glasgow, Scotland: Springer.
Lee, J., Sedwards, S., & Czarnecki, K. (2023). Uniformly Constrained Reinforcement Learning Accepted for Publication in Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS): Special Issue on Multi-Objective Decision Making (MODeM).
Larter, S., Queiroz, R., Sedwards, S., Sarkar, A., & Czarnecki, K. (2022). A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation Aachen, Germany: IEEE. https://doi.org/10.1109/IV51971.2022.9827035 (Original work published 2022)
Bouchard, F., Sedwards, S., & Czarnecki, K. (2022). A Rule-Based Behaviour Planner for Autonomous Driving Berlin (virtual): Springer.
Ernst, G., Sedwards, S., Zhang, Z., & Hasuo, I. (2021). Falsification of Hybrid Systems Using Adaptive Probabilistic Search ACM Transactions on Modeling and Computer Simulation (TOMACS), 31, 1-22. https://doi.org/10.1145/3459605