Differential Assessment of Black-Box AI Agents. - Rashmeet Kaur Nayyar; Pulkit Verma 001; Siddharth Srivastava 001 (AAAI, 2022)

Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems. - Rushang Karia; Rashmeet Kaur Nayyar; Siddharth Srivastava 001 (NeurIPS, 2022)

Preliminary Results on Using Abstract AND-OR Graphs for Generalized Solving of Stochastic Shortest Path Problems. - Rushang Karia; Rashmeet Kaur Nayyar; Siddharth Srivastava 001 (CoRR, 2022)

Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning. - Mehdi Dadvar; Rashmeet Kaur Nayyar; Siddharth Srivastava 001 (CoRR, 2022)

Conditional abstraction trees for sample-efficient reinforcement learning. - Mehdi Dadvar; Rashmeet Kaur Nayyar; Siddharth Srivastava 001 (UAI, 2023)

Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning. - Rashmeet Kaur Nayyar (AAAI, 2024)

Using Explainable AI and Hierarchical Planning for Outreach with Robots. - Rushang Karia; Jayesh Nagpal; Daksh Dobhal; Pulkit Verma 001; Rashmeet Kaur Nayyar; Naman Shah 002; Siddharth Srivastava 001 (AAAI, 2025)

Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning. - Rashmeet Kaur Nayyar; Siddharth Srivastava 001 (AAAI, 2025)