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
Publications
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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)
Lee, J. ., Sedwards, S. ., & Czarnecki, K. . (2021). Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. Presented at the. Online at http://modem2021.cs.nuigalway.ie/. Retrieved from https://arxiv.org/abs/2201.07958
Sarkar, A. ., Larson, K. ., & Czarnecki, K. . (2021). A taxonomy of strategic human interactions in traffic conflicts. A Taxonomy of Strategic Human Interactions in Traffic Conflicts. Presented at the. Retrieved from https://arxiv.org/abs/2109.13367
Kahn, M. . (2021). Dynamic-Occlusion-Aware Risk Identification for Autonomous Vehicles Using Hypergames. Retrieved from http://hdl.handle.net/10012/17774 (Original work published 2021)
Chen, H. ., Cohen, R. ., Dautenhahn, K. ., Law, E. ., & Czarnecki, K. . (2020). Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. Presented at the. Retrieved from https://arxiv.org/abs/2010.05115
Gaurav, A. . (2020). Safety-Oriented Stability Biases for Continual Learning. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15579 (Original work published 2020)
Chen, W. T. (2020). Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15537 (Original work published 2020)
Jhunjhunwala, A. ., Lee, J. ., Sedwards, S. ., Abdelzad, V. ., & Czarnecki, K. . (2020). Improved Policy Extraction via Online Q-Value Distillation. Improved Policy Extraction via Online Q-Value Distillation. Presented at the. Glasgow: IEEE.
Vernekar, S. . (2020). Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation. Waterloo. Retrieved from http://hdl.handle.net/10012/15582 (Original work published 2020)