References

Jhunjhunwala, A., Lee, J., Sedwards, S., Abdelzad, V., & Czarnecki, K. (2020). Improved Policy Extraction via Online Q-Value Distillation Presented at the Improved Policy Extraction via Online Q-Value Distillation conference. 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)

Denouden, T. (2020). An Application of Out-of-Distribution Detection for Two-Stage Object Detection Networks Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15646 (Original work published 2020)

Dillen, N., Ilievski, M., Law, E., Nacke, L. E., Czarnecki, K., & Schneider, O. (2020). Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles Presented at the Keep Calm and Ride Along: Passenger Comfort and Anxiety As Physiological Responses to Autonomous Driving Styles conference. ACM. https://doi.org/10.1145/3313831.3376247 (Original work published 2020)

Valov, P. (2020). Transferring Pareto Frontiers across Heterogeneous Hardware Environments Waterloo. Retrieved from http://hdl.handle.net/10012/16295 (Original work published 2020)

Chen, H. (2020). Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15534 (Original work published 2020)

Lee, S., Lee, J., & Hasuo, I. (2020). Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning Presented at the Predictive PER: Balancing Priority and Diversity towards Stable Deep Reinforcement Learning conference. Retrieved from https://sites.google.com/view/deep-rl-workshop-neurips2020/home

Ilievski, M. (2020). WiseBench: A Motion Planning Benchmarking Framework for Autonomous Vehicles Waterloo. Retrieved from http://hdl.handle.net/10012/16422 (Original work published 2020)

Balakrishnan, A. (2020). Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15570 (Original work published 2020)

Salay, R., Czarnecki, K., Alvarez, I., Elli, M. S., Sedwards, S., & Weast, J. (2020). PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML Presented at the PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety With ML conference. New York: CEUR.