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.
References
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De Iaco, R., Smith, S. L., & Czarnecki, K. (2019). Learning a Lattice Planner Control Set for Autonomous Vehicles Presented at the Learning a Lattice Planner Control Set for Autonomous Vehicles conference. Paris, France. https://doi.org/10.1109/IVS.2019.8813797
Vernekar, S., Gaurav, A., Abdelzad, V., Denouden, T., Salay, R., & Czarnecki, K. (2019). Out-of-distribution Detection in Classifiers via Generation Presented at the Out-of-Distribution Detection in Classifiers via Generation conference. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)
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 Presented at the Analysis of Confident-Classifiers for Out-of-Distribution Detection conference. Retrieved from https://drive.google.com/uc?export=download\&id=1AY0zFvQ_u1UmGcn0bHs1XCWX9QncaqvT (Original work published 2019)
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)
Khan, S., Phan, B. T., Salay, R., & Czarnecki, K. (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks Presented at the ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks conference. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)
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)
Li, C., & Czarnecki, K. (2019). Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective Presented at the Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective conference. Montreal.
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
Li, C., & Czarnecki, K. (2019). Urban Driving with Multi-Objective Deep Reinforcement Learning Presented at the Urban Driving With Multi-Objective Deep Reinforcement Learning conference. Montreal: IFAAMAS.