Public Code Repository
   AAIR Lab, ASU

2025

• From the Real World to Logic and Back: Learning Symbolic World Models for Long Horizon Planning.
  Naman Shah, Jayesh Nagpal, Siddharth Srivastava.
  In Proceedings of CoRL 2025. (to appear)
  

  

• Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks.
  Rushang Karia*, Daniel Bramblett*, Daksh Dobhal, Siddharth Srivastava.
  In Proceedings of ICLR 2025.
  

  

• Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning.
  Rashmeet Kaur Nayyar, Siddharth Srivastava.
  In Proceedings of AAAI, 2025.
  

  

• Using Explainable AI and Hierarchical Planning for Outreach with Robots.
  Rushang Karia*, Jayesh Nagpal*, Daksh Dobhal*, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava.
  In Proceedings of EAAI, 2025.
  

  

2024

• Belief-State Query Policies for User-Aligned POMDPs.
  Daniel Bramblett, Siddharth Srivastava.
  In Proceedings of NeurIPS, 2024.
  

  

• Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings.
  Rushang Karia*, Pulkit Verma*, Alberto Speranzon, Siddharth Srivastava.
  In Proceedings of ICAPS, 2024.
  

  

2023

• Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings.
  Pulkit Verma, Rushang Karia, Siddharth Srivastava.
  In Proceedings of NeurIPS, 2023.
  

  

• Conditional Abstraction Trees for Sample-Efficient Reinforcement Learning.
  Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava.
  In Proceedings of UAI, 2023.
  

  

2022

• Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems.
  Rushang Karia, Siddharth Srivastava
  In Proceedings of IJCAI, 2022.
  

  

• Discovering User-Interpretable Capabilities of Black-Box Planning Agents.
  Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava.
  In Proceedings of KR, 2022.
  

  

• Using Deep Learning to Boostrap Abstractions for Hierarchical Robot Planning.
  Naman Shah, Siddharth Srivastava.
  In Proceedings of AAMAS, 2022.
  

  

• JEDAI: A System for Skill-Aligned Explainable Robot Planning (Demonstration Track).
  Naman Shah*, Pulkit Verma*, Trevor Angle, Siddharth Srivastava.
  In Proceedings of AAMAS, 2022.
  

  

• Differential Assessment of Black-Box AI Agents.
  Rashmeet Kaur Nayyar*, Pulkit Verma*, Siddharth Srivastava.
  In Proceedings of AAAI, 2022.
  

  

2021

• Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning.
  Rushang Karia, Siddharth Srivastava.
  In Proceedings of AAAI, 2021.
  

  

• Asking the Right Questions: Learning Interpretable Action Models Through Query Answering.
  Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava.
  In Proceedings of AAAI, 2021.
  

  

2020

• Anytime Task and Motion Policies for Stochastic Environments.
  Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojhalla, Siddharth Srivastava.
  In Proceedings of ICRA, 2020.