Out-of-distribution Detection in Classifiers via Generation S Vernekar, A Gaurav, V Abdelzad, T Denouden, R Salay, K Czarnecki NeurIPS 2019, Safety and Robustness in Decision Making Workshop, 2019 | 103 | 2019 |
Analysis of Confident-Classifiers for Out-of-distribution Detection S Vernekar, A Gaurav, T Denouden, B Phan, V Abdelzad, R Salay, ... ICLR 2019, Safe Machine Learning Workshop, 2019 | 24 | 2019 |
Benchmarking Constraint Inference in Inverse Reinforcement Learning G Liu, Y Luo, A Gaurav, K Rezaee, P Poupart ICLR 2023, 2023 | 21 | 2023 |
Learning Soft Constraints From Constrained Expert Demonstrations A Gaurav, K Rezaee, G Liu, P Poupart ICLR 2023, Notable Top 25%, 2023 | 19 | 2023 |
Design Space of Behaviour Planning for Autonomous Driving M Ilievski, S Sedwards, A Gaurav, A Balakrishnan, A Sarkar, J Lee, ... arXiv preprint arXiv:1908.07931, 2019 | 14 | 2019 |
WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving J Lee, A Balakrishnan, A Gaurav, K Czarnecki, S Sedwards Quantitative Evaluation of Systems: 16th International Conference, QEST 2019 …, 2019 | 11 | 2019 |
Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim A Balakrishnan, J Lee, A Gaurav, K Czarnecki, S Sedwards ACM Transactions on Modeling and Computer Simulation (TOMACS) 31 (3), 1-26, 2021 | 10 | 2021 |
Simple Continual Learning Strategies for Safer Classifers A Gaurav, S Vernekar, J Lee, V Abdelzad, K Czarnecki, S Sedwards AAAI 2020, Workshop on Artificial Intelligence Safety (ceur.ws) 2560, 96-104, 2020 | 7 | 2020 |
Safety-Oriented Stability Biases for Continual Learning A Gaurav University of Waterloo, 2020 | 1 | 2020 |
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges G Liu, S Xu, S Liu, A Gaurav, SG Subramanian, P Poupart arXiv preprint arXiv:2409.07569, 2024 | | 2024 |
Systems and methods to learn constraints from expert demonstrations A Gaurav, P Poupart, K Rezaee, G Liu US Patent App. 17/968,913, 2023 | | 2023 |