Ashish Gaurav
Ashish Gaurav
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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
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
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
Benchmarking Constraint Inference in Inverse Reinforcement Learning
G Liu, Y Luo, A Gaurav, K Rezaee, P Poupart
ICLR 2023, 2023
Learning Soft Constraints From Constrained Expert Demonstrations
A Gaurav, K Rezaee, G Liu, P Poupart
ICLR 2023, Notable Top 25%, 2023
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
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
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 ( 2560, 96-104, 2020
Safety-Oriented Stability Biases for Continual Learning
A Gaurav
University of Waterloo, 2020
Systems and methods to learn constraints from expert demonstrations
A Gaurav, P Poupart, K Rezaee, G Liu
US Patent App. 17/968,913, 2023
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