Ashish Gaurav

According to our database, Ashish Gaurav authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges.

Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

Trans. Mach. Learn. Res., 2025

Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning.

Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Benchmarking Constraint Inference in Inverse Reinforcement Learning.

Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Soft Constraints From Constrained Expert Demonstrations.

Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim.

Aravind Balakrishnan, Jaeyoung Lee, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards

ACM Trans. Model. Comput. Simul., 2021

2020

Simple Continual Learning Strategies for Safer Classifers.

Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

Out-of-distribution Detection in Classifiers via Generation.

Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki

CoRR, 2019

Design Space of Behaviour Planning for Autonomous Driving.

Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki

CoRR, 2019

Analysis of Confident-Classifiers for Out-of-distribution Detection.

Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki

CoRR, 2019

WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving.

Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards

CoRR, 2019

WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving.

Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards

Proceedings of the Quantitative Evaluation of Systems, 16th International Conference, 2019