Balakrishnan, A. ., Lee, J. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2021). Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim. ACM Transactions on Modeling and Computer Simulation, 31, Article No. 15, pp 1~26. https://doi.org/10.1145/3449356 (Original work published 2021)
Publications
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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.. Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. Presented at the. Retrieved from https://arxiv.org/abs/2109.09861
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)
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.. I Know You Can’t See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. Presented at the. 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).
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)
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)
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