Phan, B. T., Khan, S., Salay, R., & Czarnecki, K. (2019). Bayesian Uncertainty Quantification with Synthetic Data Presented at the Bayesian Uncertainty Quantification With Synthetic Data conference. Turku, Finland: SAFECOMP. Retrieved from https://www.waise.org/ (Original work published 2019)
Reference author: Krzysztof Czarnecki
First name
Krzysztof
Last name
Czarnecki
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)
Sarkar, A., & Czarnecki, K. (2019). A behavior driven approach for sampling rare event situations for autonomous vehicles Presented at the A Behavior Driven Approach for Sampling Rare Event Situations for Autonomous Vehicles conference. Retrieved from https://ieeexplore.ieee.org/abstract/document/8967715
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
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)
Bouchard, F., Sedwards, S., & Czarnecki, K. (2022). A Rule-Based Behaviour Planner for Autonomous Driving Berlin (virtual): Springer.
Queiroz, R., Berger, T., & Czarnecki, K. (2019). GeoScenario: An Open DSL for Autonomous Driving Scenario Representation Presented at the GeoScenario: An Open DSL for Autonomous Driving Scenario Representation conference. Paris: IEEE.
Abdelzad, V., Lee, J., Sedwards, S., Soltani, S., & Czarnecki, K. (2021). Non-divergent Imitation for Verification of Complex Learned Controllers Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533410
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
Sarkar, A., & Czarnecki, K. (2021). Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/16715