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.
References
Filter by:
2019
Jhunjhunwala, A. (2019). Policy Extraction via Online Q-Value Distillation Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/14963 (Original work published 2019)
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
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)
Juodisius, P., Sarkar, A., Mukkamala, R. R., Antkiewicz, M., Czarnecki, K., & Wąsowski, A. (2019). Clafer: Lightweight Modeling of Structure, Behaviour, and Variability The Art, Science, and Engineering of Programming, 3(1). https://doi.org/https://doi.org/10.22152/programming-journal.org/2019/3/2 (Original work published 2018)
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.
Masud, Z. (2019). Switching GAN-based Image Filters to Improve Perception for Autonomous Driving Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15228 (Original work published 2019)
Queiroz, R., Berger, T., & Czarnecki, K. (2019). GeoScenario: An Open DSL for Autonomous Driving Scenario Representation Presented at the GeoScenario: An Open DSL for Autonomous Driving Scenario Representation conference. Paris: IEEE.
Hurl, B. (2019). Local and Cooperative Autonomous Vehicle Perception from Synthetic Datasets Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15118 (Original work published 2019)
Balasubramanian, V. (2019). 3D Online Multi-Object Tracking for Autonomous Driving Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/14994 (Original work published 2019)