Reference author: Krzysztof Czarnecki

Thérien, B. ., Huang, C. ., Chow, A. ., & Czarnecki, K. . (2024). Object Re-identification from Point Clouds. IEEE/CVF/Winter/Conference/on/Applications/of/Computer/Vision/(WACV). Presented at the. IEEE. https://doi.org/https://doi.ieeecomputersociety.org/10.1109/WACV57701.2024.00819

Yacoub, M. ., Antkiewicz, M. ., Czarnecki, K. ., & McPhee, J. . (2024). Gain-scheduled model predictive controller for vehicle-following trajectory generation for autonomous vehicles. Vehicle System Dynamics, 26. https://doi.org/10.1080/00423114.2024.2373140 (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)

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)

Li, C. ., & Czarnecki, K. . (2019). Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. Presented at the. Montreal.

Valov, P. ., Petkovich, J.-C. ., Guo, J. ., Fischmeister, S. ., & Czarnecki, K. . (2017). Transferring Performance Prediction Models Across Different Hardware Platforms. Transferring Performance Prediction Models Across Different Hardware Platforms. Presented at the. https://doi.org/10.1145/3030207.3030216 (Original work published 2017)

Li, C. ., & Czarnecki, K. . (2019). Urban Driving with Multi-Objective Deep Reinforcement Learning. Urban Driving With Multi-Objective Deep Reinforcement Learning. Presented at the. Montreal: IFAAMAS.

Guo, J. ., Blais, E. ., Czarnecki, K. ., & van Beek, P. . (2017). A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization. A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-Objective Combinatorial Optimization. Presented at the. https://doi.org/10.1007/978-3-319-57351-9_16 (Original work published 2017)

Lee, J. ., Balakrishnan, A. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2019). WiseMove: A Framework to Investigate Safe Reinforcement Learning for Autonomous Driving. Glasgow, Scotland: Springer.

Liang, J. H., Ganesh, V. ., Poupart, P. ., & Czarnecki, K. . (2016). Exponential Recency Weighted Average Branching Heuristic for SAT Solvers. Exponential Recency Weighted Average Branching Heuristic for SAT Solvers. Presented at the. Retrieved from http://dl.acm.org/citation.cfm?id=3016100.3016385 (Original work published 2016)