Lee, J., Sedwards, S., & Czarnecki, K. (2021). Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning Presented at the Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning conference. Online at http://modem2021.cs.nuigalway.ie/. Retrieved from https://arxiv.org/abs/2201.07958
References
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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.
Sarkar, A., Larson, K., & Czarnecki, K. (2022). Generalized dynamic cognitive hierarchy models for strategic driving behavior. Presented at the Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. conference. Retrieved from https://arxiv.org/abs/2109.09861
Kahn, M., Sarkar, A., & Czarnecki, K. (2022). I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. Presented at the I Know You Can’t See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. conference. Retrieved from https://arxiv.org/abs/2109.09807
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).
Thérien, B., Huang, C., Chow, A., & Czarnecki, K. (2024). Object Re-identification from Point Clouds Presented at the IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV) conference. IEEE. https://doi.org/https://doi.ieeecomputersociety.org/10.1109/WACV57701.2024.00819
Huang, C., Abdelzad, V., Sedwards, S., & Czarnecki, K. (2024). SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling Presented at the 2024 IEEE CVF Winter Conference on Applications of Computer Vision (WACV) conference. Waikoloa, HI, USA: IEEE. https://doi.org/10.1109/WACV57701.2024.00332 (Original work published 2024)
Wang, J., Pant, Y. V., Zhao, L., Antkiewicz, M., & Czarnecki, K. (2024). Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles IEEE Transactions on Intelligent Transportation Systems, 16. https://doi.org/10.1109/TITS.2024.3384050 (Original work published 2024)
Queiroz, R., Sharma, D., Caldas, R., Czarnecki, K., Garcia, S., Berger, T., & Pelliccione, P. (2024). A driver-vehicle model for ADS scenario-based testing IEEE Transactions on Intelligent Transportation Systems, 14. https://doi.org/10.1109/TITS.2024.3373531 (Original work published 2024)