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.
Publications
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De Iaco, R. ., Smith, S. L., & Czarnecki, K. . (2019). Learning a Lattice Planner Control Set for Autonomous Vehicles. Learning a Lattice Planner Control Set for Autonomous Vehicles. Presented at the. Paris, France. https://doi.org/10.1109/IVS.2019.8813797
Vernekar, S. ., Gaurav, A. ., Denouden, T. ., Phan, B. T., Abdelzad, V. ., Salay, R. ., & Czarnecki, K. . (2019). Analysis of Confident-Classifiers for Out-of-Distribution Detection. Analysis of Confident-Classifiers for Out-of-Distribution Detection. Presented at the. Retrieved from https://drive.google.com/uc?export=download\&id=1AY0zFvQ_u1UmGcn0bHs1XCWX9QncaqvT (Original work published 2019)
Vernekar, S. ., Gaurav, A. ., Abdelzad, V. ., Denouden, T. ., Salay, R. ., & Czarnecki, K. . (2019). Out-of-distribution Detection in Classifiers via Generation. Out-of-Distribution Detection in Classifiers via Generation. Presented at the. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)
Phan, B. T., Khan, S. ., Salay, R. ., & Czarnecki, K. . (2019). Bayesian Uncertainty Quantification with Synthetic Data. Bayesian Uncertainty Quantification With Synthetic Data. Presented at the. Turku, Finland: SAFECOMP. Retrieved from https://www.waise.org/ (Original work published 2019)
Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)
Sarkar, A. ., & Czarnecki, K. . (2019). A behavior driven approach for sampling rare event situations for autonomous vehicles. A Behavior Driven Approach for Sampling Rare Event Situations for Autonomous Vehicles. Presented at the. Retrieved from https://ieeexplore.ieee.org/abstract/document/8967715
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.
Ilievski, M. ., Sedwards, S. ., Gaurav, A. ., Balakrishnan, A. ., Sarkar, A. ., Lee, J. ., Bouchard, F. ., De Iaco, R. ., & Czarnecki, K. . (2019). Design Space of Behaviour Planning for Autonomous Driving. Waterloo. Retrieved from https://arxiv.org/abs/1908.07931 (Original work published 2019)
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.
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