ML Anthology

Gaurav, Ashish

4 publications

TMLR 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
ICLR 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu
ICLR 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
ICLR 2023 Learning Soft Constraints from Constrained Expert Demonstrations Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart