Public Code Repository
AAIR Lab, ASU

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.
  

  

• 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.